Spent 2 years creating a 21-hour, high-quality course that covers everything about Tableau. And yes, everything is FREE!

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📖 Table of Content
00:00 Intro
03:20 Tableau Course Structure
08:35 #1 Section: Tableau Basics
08:37 Big Data Terms
00:16:54 What is Business Intelligence (BI)
00:19:34 What is Data Visualization
00:22:50 Excel vs BI-Tools
00:31:28 Top 3 BI-Tools
00:32:22 What is Tableau
00:34:50 Why Tableau
==============
00:39:54 #2 Chapter: Tableau Products
00:39:54 Tableau Development Products
00:43:36 Tableau Sharing Process
00:54:26 Tableau Hosting (OnPrem, IaaS, SaaS)
01:00:24 Tableau Sharing Products
==============
01:12:03 #3 Section: Tableau Architecture
01:12:46 Live vs Extract
01:14:48 Tableau File Types
01:19:16 Tableau Desktop Architecture
01:26:39 Tableau Server Architecture
==============
01:48:37 #4 Section: Prepare the Environment
01:48:44 Download & Install Tableau Public
01:50:06 Create Tableau Public Account
01:51:26 Get Training Datasets
01:57:18 Publish First Viz
01:59:33 Tour into the Tableau Interface
==============
02:13:01 #5 Section: Combining Data
02:13:51 Basics Data Modeling
02:19:57 Logical & Physical Layers
02:25:07 Joins
02:33:59 Union
02:40:54 Relationships
02:57:28 Data Blending
03:15:57 Summary: Combining Methods
==============
03:28:46 #6 Section: Tableau Metadata
03:29:42 Data Types
03:48:35 Geographic & Image Roles
03:53:18 Dimensions & Measures
04:10:57 Discrete vs Continuous
04:25:34 Summary: Tableau Metadata
==============
04:27:16 #7 Section: Renaming & Aliases
04:27:50 Naming Conventions
04:38:28 Renaming
04:48:46 Aliases
==============
04:57:26 #8 Section: Organizing Data
04:58:13 Hierarchy
05:16:03 Groups
05:28:57 Cluster Group
05:38:37 Sets
06:02:25 Bins & Histograms
==============
06:12:55 #9 Section: Filtering & Sorting Data
06:13:40 Understand Tableau Filters
06:25:11 How to Create Filters
06:48:05 Customizing Filters
==============
08:03:50 #10 Section: Tableau Parameters
08:32:09 #11 Section: Tableau Actions
==============
09:05:56 #12 Section: Tableau Calculations
09:31:33 Types of Tableau Calculations
09:53:53 Number Functions
10:04:12 String Functions
11:27:55 Date Functions
12:17:31 Null Functions
12:30:33 Logical Functions
13:16:13 Aggregate Functions
13:35:24 Attribute Function ATTR()
13:59:29 Fixed
14:08:55 Exclude
14:14:26 Include
==============
15:02:51 #13 Section: Tableau Charts
17:55:35 #14 Section: Tableau Dashboards
18:22:08 #15 Section: Tableau Project

#tableau #data #analytics #datascience
**Please note I may earn a small commission for any purchase through these links, which means at no additional cost to you - Thanks for supporting the channel!**
**All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for**

🔥Enroll for the Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

#PowerBIFullCourse2024 #PowerBITutorialForBeginners #PowerBICourse #Intellipaat

As organizations struggle with the challenge of transforming raw data into actionable insights, Power BI emerges as a powerful tool. In this Power BI course 2024, we will learn how Power BI has changed the way of doing Data Analytics.

This particular Power BI Course For Beginners has been taught by our top industry experts associated with companies like Google, Meta, and Microsoft. So, stay until the end of this video, you will understand Power BI from Fundamentals To Data Visualization in Power BI.

With this Power BI Course 2024, we will give you the Fundamental idea of what is Power BI, Power BI Installation, Power BI Interface, Power BI Basics, Power BI with MySQL, Power BI Power Query Editor, Shaping Data in Power BI, Data Modelling in Power BI, DAX Function in Power BI, and Data Visualization. We will also highlight some of the important Power BI interview questions.

🔵 Following topics are covered in this Power BI Course 2024
00:00:00 - Introduction to Power BI Course
00:02:17 - What is Power BI?
00:06:15 - Power BI Installation
00:29:41 - What is Business Intelligence?
01:01:14 - Why Power BI?
01:07:01 - Power BI Components
01:25:52 - Architecture of Power BI
01:32:12 - Creating a Report in Power BI
02:18:22 - Overview of Power BI Desktop
02:20:31 - Data Sources in Power BI
03:41:28 - Power Query Editor
04:02:19 - Shaping Data
04:32:12 - Formatting Data
05:56:53 - Combining Data
07:16:51 - Power BI Data Model
08:14:03 - What is DAX?
11:00:02 - Power BI Interview Questions

✅Can I learn Power BI myself?
How to learn Power BI and get certified. Power BI has a friendly graphical interface, but there's a lot of complexity beneath the surface. It's easy to watch videos or read tutorials and assume that you've learned Power BI. But to pass the exam and get job-ready, you'll need hands-on skills.

✅Can we learn Power BI in 10 days?
It generally takes four to six weeks to learn the basics of Power BI, with the process involving seven specific stages, including installing, integrating data sources, handling data, creating basic visualizations, using DAX functions, making dashboards and reports, and publishing data findings.

➡️ About the Course
Enroll in this advanced certification by IITM Pravartak (The Technology Innovation Hub of IIT Madras) and Intellipaat and learn under the expert guidance of the IIT Madras faculty. The program is designed by industry experts to help you master AWS, cloud computing, VPC, etc., through real-time hands-on projects.

➡️Who should take this course?
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☑️BI Professionals
☑️Data Analytics Professionals
☑️Project Managers
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☑️Information Architects
☑️Freshers and Undergraduates can apply for the course

✅ Key Features
👉🏼50+ Live sessions across 7 months
👉🏼218 Hrs Self-paced Videos
👉🏼200 Hrs Project & Exercises
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👉🏼One-on-one with Industry Mentors
👉🏼Resume Preparation and LinkedIn Profile Review
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What’s Covered in This Program?
✅Data wrangling with SQL
✅Presto
✅Introduction to Data Science and Statistics
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✅Optimization Techniques
✅KNIME
✅Statistics and Machine Learning using R Programming
✅Predictive Modeling
✅Time-Series Forecasting
✅Feature Engineering
✅Advance Machine Learning Techniques
✅Data Science Execution Strategy
✅Business Case Studies
✅Visualization using Power BI
✅Data Science Capstone Project

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Enrol in Odin School Data Science Bootcamp https://hubs.la/Q02sdRdR0

Link to the resources https://docs.google.com/docume....nt/d/1V8iQZsnC50YM9n

List if the companies
Amazon
Paytm
Cisco
Moody's analytics
Citicorp Finance
Uber
PWC
Deloitte
Tiger Analytics
Cult.fit
Zepto
Swiggy
Meesho
ANZ Bank
Nielsen
Infineon
Smartcoin
Blackbuck
WeRize

Connect with Shakra
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Youtube https://www.youtube.com/@ShakraShamim
LinkedIn https://www.linkedin.com/in/sh....akra-shamim-8ab3a123

Subscribe to my second channel for more educational content:
https://www.youtube.com/c/LeadCodingbyFRAZ
(Recursion and Linked List series are completed)

For Collaboration Enquiries:
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For Event Invites
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For all the latest announcements, join our telegram channel:
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For any doubts and guidance feel free to reach out to me on
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00:00 - 01:28 Recap
01:29 - 01:49 Introduction
01:50 - 02:33 What all companies did you crack and what were the CTCs?
02:34 - 03:01 Did you face rejections?
03:02 - 03:25 When did you plan to switch?
03:26 - 05:26 Strategy to switch/hunt for a job
05:27 - 05:49 Do you use same resume everywhere?
05:50 - 06:15 How to check ATS score?
06:16 - 08:51 Next steps towards applying job
08:52 - 09:49 Referral tricks
09:50 - 10:31 Any other tips regarding job search
10:32 - 11:18 What to prefer referral/direct apply?
11:18 - 11:51 How did you get a call from Amazon?
11:52 - 13:04 Number of companies you apply and got the call
13:05 - 14:17 Topics frequently asked in every interviews
14:18 - 15:38 Tricky topics that companies ask
15:39 - 16:35 Time management and preparation strategy
16:36 - 17:44 Platforms to use for preparation
17:45 - 20:15 Interview rounds in Amazon
20:16 - 21:14 Is there any specific way to answer scenario based questions?
21:15 - 21:47 Total time taken for the whole interview process
21:48 - 22:17 Feeling after cracking Amazon
22:18 - 22:46 Conclusion


✨ Hashtags ✨
#GoogleSde #Tech #SoftwareEngineering #Jobs #Career #ComputerScience #FAANGM #FAANG #DTU #engineering #internship #college #DSA #Freshers

تقدر تشترك في مخيم تحليل البيانات مع العسال عن طريق الرابط ده
https://www.assaal.com/book-online

edx.org
موقع تعلم كورسات تحليل البيانات و حاجات تانيه كتييير
kaggle.com
عشان تجيب من عليه قواعد بيانات
upwork.com , mostaql
مواقع عشان الشغل الاونلاين من البيت


لو شايف اني بفيدك و حابب انك تدعمني و تنضم لاعضاء القناه الداعمين لها تقدر تشارك و تشوف برامج الاعضاء المختلفه من الرابط ده 👇
https://www.youtube.com/channe....l/UCIchWfEE4FevYhRh9
تابعوني علي تيك توك عشان تتعلم أكسل اكتر
https://www.tiktok.com/@mohamed_alassaal?lang=en
و علي انستجرام
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This Video is about my career journey into Data Analytics.

We are starting a community on Whatsapp for Data Folks !!

If you are someone who is in studying or working,
being curious or enthusiast about Data Science & Analytics, Welcome Home !!

We will be sharing/helping Data contents to empower you into this field.

Please click on the link below and join the community.

https://chat.whatsapp.com/IAsKVxSjY1tBhgtkaqzuEj

#DataAnalyst #DataAnalytics #CareerTips #DataScience #TechCareers #HowToBecomeADataAnalyst #DataAnalystJourney #DataSkills #DataTools #DayInTheLife

قد تسمع أحيانا كلمة
Data Analysis
أو
Data Analytics
وقد تتسائل هل الكلمتين لهم نفس المعنى أم أن هناك اختلاف ، ولو يوجد إختلاف فما هو؟؟
هذا هو ما سنعرفه في هذا الفيديو.

وللأسف هنا الترجمة العربية لا تفرق كثيراً بين الكلمتين فالأولى تُترجم :"تحليل البيانات" وأما الثانية فتترجم:"تحليلات البيانات" وقد تفترض أن المعنى واحد.

Data cleaning is essential for successful analysis. If a piece of data is entered into a spreadsheet or database incorrectly, or if data formats are inconsistent, the result is dirty data. Let's go through why and how to clean data.

0:00 Getting Started with Data Cleansing
3:20 Why Data Cleaning is Important
9:05 Identify Dirty Data
14:31 Starting the Data Cleansing Process
20:51 Cleaning Data from Multiple Sources
26:37 Data Cleaning Features
34:43 Optimize the Data Cleaning Process
48:50 Data Perspectives
59:12 Even More Data Cleaning Techniques

This video is part of the Google Data Analytics Certificate which teaches learners how to prepare, process, analyze, share, and act on data.

The program, created by Google employees in the field, is designed to provide you with job-ready skills in about 6 months to start or advance your career in data analytics.

Take the Certificate HERE: https://goo.gle/3YZJx1Z

Subscribe HERE: https://bit.ly/SubscribeGCC

#GrowWithGoogle #GoogleCareerCertificate #DataAnalytics

Why earn a Google Career Certificate?
► No experience necessary: Learn job-ready skills, with no college degree required.
► Learn at your own pace: Complete the 100% online courses on your own terms.
► Stand out to employers: Make your resume competitive with a credential from Google.
► A path to in-demand jobs: Connect with top employers who are currently hiring.

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Advanced Excel Full Course 2024 by Simplilearn is complete Excel tutorial that helps aspiring data analysts with excel data analytics fundamentals. This Microsoft Excel Tutorial For Beginners will cover basic topics of excel like data validation, conditional formatting, spreadsheet fundamentals to advanced excel topics like time series analysis, filters, slicers, excel dashboarding, data visualization, and much more.

This Excel Full Course will cover the following topics:
00:00:00 introduction to Microsoft Excel Full Course
00:01:52 Excel Basic Knowledge
00:18:45 How To Change Lower Case To Upper Case In Excel?
00:19:58 How To Add Rows In Excel?
00:21:32 How To Add Columns In Excel?
00:24:29 How To Select Entire Column In Excel?
00:27:16 How to Compare Two Columns In Excel?
00:34:36 How To Convert Rows To Columns In Excel?
00:36:13 How to Group Rows in Excel?
00:37:55 How To Remove Blank Rows In Excel?
00:41:44 How To Freeze Row In Excel Tutorial
00:44:12 How to Convert Numbers to Words in Excel?
00:46:59 Combining Data From Multiple Cells In Excel
00:49:27 How To Merge Cells In Excel
00:54:12 How to Add Date in Excel?
00:55:48 How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
00:59:55 How To Calculate Age In Excel From A Date Of Birth?
01:01:37 How To Calculate Time Difference in Excel?
01:03:15 DAX In Excel Explained
01:08:20 Checkboxes In Excel
01:12:31 How to Insert Excel in PPT?
01:14:40 How To Insert Image In Excel?
01:18:05 How To Insert PDF in Excel Sheet?
01:21:40 How To Convert PDF To Excel
01:26:05 How to Insert Tick Mark in Excel?
01:29:05 How to add Watermark in Excel?
01:32:00 How to Increase Cell Size in Excel?
01:34:50 How to create Barcode In Excel
01:38:08 Excel Flash Fill
01:43:00 How to Add Hyperlink In Excel
01:55:44 Excel Round-Off Formula
01:58:18 How To Calculate Standard Deviation In Excel?
02:04:50 Index Match In Excel
02:09:10 How to Sort by Date in Excel?
02:10:40 How to Use AutoSum In Excel
02:13:47 How To Sort Data In Excel?
02:23:56 Slicer and Filter in Excel
02:27:49 How to Add Filters in Excel
02:29:20 Goal Seek In Excel
How to Create Drop-Down List In Excel?
02:44:46 Data Validation In Excel
02:44:50 How To Lock(Protect) Cells In Excel
03:17:55 How To Calculate Average In Excel?
03:18:43 Excel Print Page Setup
03:36:47 Page Break In Excel For Beginners
03:08:53 Conditional Formatting In Excel
03:41:56 How to Count Colored Cells in Excel?
03:47:54 DateDif In Excel Explained
03:51:08 Remove Duplicates In Excel
03:55:05 SUMIFS Formula in Excel
04:02:40 How To Create Pivot Tables In Excel
04:07:00 Autofill In Excel Explained
04:10:22 How to Calculate Percentage In Excel
04:12:08 How To Highlight Duplicates In Excel?
04:16:04 Charts In Excel
04:21:56 Progress Tracker In Excel
04:25:50 Excel Gantt Chart Tutorial
04:28:48 Pivot Tables In Excel
04:57 Pivot Charts in Excel and How to Create a Pivot Table Using Multiple Sheets in Excel
06:45:02 Time Series Analysis in Excel
07:37:00 Excel Dashboard Design
08:47:00 Excel Power Query Tutorial For Beginners
09:44:44 Excel Budget Template
09:51:37 Excel Interview Questions And Answers

⏩ Check out the Excel tutorial videos: https://www.youtube.com/watch?v=nPkmWE4JCfE&list=PLEiEAq2VkUUKf8aLrspLg3zuyJ5S-5K5S

#HowtoGroupRowsinExcel #ExcelTutorial #ExcelGrouping #ExcelTips #MSExcel #Excel #ExcelTraining #LearnMSExcel #ExcelBasics #ExcelTutorialForBeginners #simplilearn

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Interested in Data Science? Start with learning SQL to query data. You'll need it no matter which part of the data science pyramid you're interested in: https://joma.tech/sql





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Google Data Analytics Professional Certification details.
Discussed these points in this video: How to start, cost, time, skills, projects and placement/job guide.

Course Link: https://bit.ly/3M2rJgi

#DataScience #Google #GoogleDataAnalytics

Overall structure of the course :
Course 1 is foundations
Course 2 which is about asking effective questions how to make data driven decisions
Course 3 is how to Prepare data for exploration which includes types of data and also how to use spreadsheet and SQL with database and data set
Course 4 : is about Processing data from Dirty to clean which basically means converting unstructured data into structured data using SQL
Course5 is Analyze data to answer Questions
Course 6 Share data Through the Art of Visualization
Course 7 is Data Analysis with R programming
Course 8 is a case study which is optional called Google Data Analytics Capstone

Timestamps:
00:00 Intro
01:06 Google Course Overview
05:50 Course 1
06:40 Course 2
07:08 Course 3
07:43 Course 4
08:31 Course 5
09:00 Course 6
09:54 Course 7
10:29 Course 8
11:30 FAQs
14:22 Outro

Like, Share, Subscribe :)

➖➖➖➖➖➖➖➖➖➖➖➖➖

Useful videos:

■ Data Analyst RoadMap: https://bit.ly/3RNUgaQ

■ Complete Excel Tutorial: https://bit.ly/3qjzMeq

If you like this video I highly suggest you to check out some other fun videos on this channel 😉

■ How to Become Data Analyst in 2022 | Data Analyst Roadmap
https://www.youtube.com/watch?v=TiWGpLmYJD4

■ Business Analyst Vs Data Analyst - Job, Salary, Qualification, Skills & Career Path
https://www.youtube.com/watch?v=9XmD2o5Slb8

■ 5 Minimum Skills to Get a Data Analyst Job || Skills to Become Data Analyst
https://www.youtube.com/watch?v=JJdD_oM1CmQ

➖➖➖➖➖➖➖➖➖➖➖➖➖

If this is the first ever video you're watching allow me to introduce myself, Hey I'm Rishabh Mishra and currently working as Senior Data Analyst at Bangalore. On this channel I like to guide and help my juniors and data science aspirants regarding Data Science jobs and useful tips for college students.
Have a great day buddy!

👋 CONNECT WITH ME on other Social Handle :
Instagram: https://www.instagram.com/rishabhnmishra/
LinkedIn: https://www.linkedin.com/in/rishabhnmishra/
Twitter: https://twitter.com/rishabhnmishra

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SPSS Statistics is a software package used for interactive, or batched, statistical analysis. Learn how to use it in this full course.

💻 Download course files here: https://drive.google.com/drive..../folders/1LCtTh6Gt2P

✏️ Course created by Barton Poulson from datalab.cc.
🔗 Check out the datalab.cc YouTube channel: https://www.youtube.com/user/datalabcc
🔗 Watch more free data science courses at http://datalab.cc/

⭐️ Course Contents ⭐️
(0:00:00) Welcome
(0:02:33) Versions, Editions, & Modules
(0:08:10) Taking a Look
(0:15:20) Sample Data
(0:19:10) Graph board Templates
(0:28:17) Bar Charts
(0:34:00) Histograms
(0:37:30) Scatterplots
(0:44:30) Frequencies
(0:53:00) Descriptives
(1:01:00) Explore
(1:12:00) Labels & Definitions
(1:23:00) Entering Data
(1:26:00) Importing Data
(1:37:00) Hierarchical Clustering
(1:48:00) Factor Analysis
(2:03:00) Regression
(2:15:00) Next Steps

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What exactly is data science - A question many beginners ask. This video will answer this question and will teach you exactly what data science is in laymen's terms.

►Check out my English channel here: https://www.youtube.com/ProgrammingWithHarry
►Click here to subscribe - https://www.youtube.com/channe....l/UCeVMnSShP_Iviwkkn

Best Hindi Videos For Learning Programming:
►Learn Python In One Video - https://www.youtube.com/watch?v=ihk_Xglr164

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Data Analysis Project | Advanced Excel Full Course | Excel Tutorial for Beginners | Excel Course | Excel Data Analysis Project

Data Analysis Project in Excel: Layoff Trends Dashboard


In this video, we’ll walk you through a comprehensive data analysis project using Excel. The objective of this project is to analyze the layoff data of a company and create an interactive Excel dashboard with Macros that provides comprehensive insights into layoff trends.

The project involves several steps:

1. Data Collection: We’ll obtain the layoff dataset from Kaggle, a well-known platform for sharing and discovering datasets. We’ll guide you on how to access Kaggle, search for the relevant dataset, evaluate the datasets, and download the suitable one for further analysis.

2. Understanding the Dataset: The chosen dataset contains key fields such as Company, Location_HQ, Industry, Percentage, Date, Funds_Raised, Stage, Date_Added, Country, Laid_Off_Count, and List_of_Employees_Laid_Off. We’ll explore the dataset which has 2739 rows and 12 columns, and discuss the data types and missing values in the dataset.

3. Data Pre-processing: This step involves transforming raw data into a format that is more suitable for analysis. We’ll show you how to convert the date column to datetime, extract information of each unique type, check for duplicates and null values, and reduce unwanted data.

4. Data Visualization and Dashboard Creation: Finally, we’ll design a visually appealing dashboard with charts and slicers. The dashboard will include a pie chart showing layoffs by Year, a bar chart depicting layoffs by Industry, and a line chart illustrating layoffs trend by Month.

By the end of this video, you’ll have a comprehensive understanding of how to perform advanced analytics on a dataset using Excel, and how to create an interactive dashboard that allows users to explore layoff patterns visually.

Join us as we delve into the world of data analysis with Excel!

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At Digiperform, we're proud to witness the incredible journey of Ishwar, who has successfully completed his Data Science course with us. Equipped with valuable skills like Python, MySQL, and Data Analysis, Ishwar has already secured a position as a Data Engineer at Genesis Pvt. Ltd. 🎉

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This gives information about polars package in python for data analysis.

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This video, Power BI Full Course 2023by Simplilearn, will help you learn the basics of Power BI and the reasons to learn it. In this Power BI tutorial for beginners, you will understand the different components of Power BI, how to use Dax functions to derive value from your data, and how to publish dashboards on to the power bi service.
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✅✅✅RoadMap to Data Analytics✅✅✅
Complete RoadMap to Become a Data Analyst in 2024.
Learn and Practice these skills and courses from our youtube Channel Codanics or our website www.codanics.com

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You can also learn from our youtube channel www.youtube.com/@Codanics following this sequence.

1. MS Excel:
1. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
2. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
2. ABC of Statistics for Data Analytics and Data Understanding:
1. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
2. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
3. Free Ebook written in Roman Urdu:
1. https://codanics.com/books/abc....-of-statistics-for-d
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1. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
2. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
4. Power BI for Data Visualization
1. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
5. Tableau for Data Visualization
1. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
6. SQL (Structured Query Language)
1. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
7. Python for Data Analytics and Data Science
1. The whole python ka chilla for data science (Free main) is at this link: https://shorturl.at/vxGZ8
8. R programming:
1. Complete course on R is here: https://codanics.com/courses/r-with-aammar/
9. Bonus Complete Course on AI and Data Science:
1. Six months AI and Data Science Mentorship program is uploaded here: https://codanics.com/courses/s....ix-months-of-ai-and-
10. Markdown Language to Make Data Reports:
1. https://youtu.be/qJqAXjz-Rh4

Please share and like this video, also write your comment here and subscribe our channel.
---------------------------------------------------------------------------------------------------------------------------------------
✅Our Free Books: https://codanics.com/books/abc....-of-statistics-for-d
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All Videos
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complete course on R is here: https://codanics.com/courses/r-with-aammar/
The whole python ka chilla for data science (Free main) is at this link: https://shorturl.at/vxGZ8

---------------------------------------------------------------------------------------------------------------------------------------


---------------------------------------------------------------------------------------------------------------------------------------
✅✅✅RoadMap to Data Analytics✅✅✅
Complete RoadMap to Become a Data Analyst in 2024.
Learn and Practice these skills and courses from our youtube Channel Codanics or our website www.codanics.com

The complete Data Analytics Course can be accessed here:
https://codanics.com/courses/d....ata-analyst-summer-b

You can also learn from our youtube channel www.youtube.com/@Codanics following this sequence.

1. MS Excel:
1. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
2. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
2. ABC of Statistics for Data Analytics and Data Understanding:
1. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
2. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
3. Free Ebook written in Roman Urdu:
1. https://codanics.com/books/abc....-of-statistics-for-d
3. Mathematics for Data Analytics and Data Understanding:
1. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
2. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
4. Power BI for Data Visualization
1. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
5. Tableau for Data Visualization
1. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
6. SQL (Structured Query Language)
1. https://www.youtube.com/playli....st?list=PL9XvIvvVL50
7. Python for Data Analytics and Data Science
1. The whole python ka chilla for data science (Free main) is at this link: https://shorturl.at/vxGZ8
8. R programming:
1. Complete course on R is here: https://codanics.com/courses/r-with-aammar/
9. Bonus Complete Course on AI and Data Science:
1. Six months AI and Data Science Mentorship program is uploaded here: https://codanics.com/courses/s....ix-months-of-ai-and-
10. Markdown Language to Make Data Reports:
1. https://youtu.be/qJqAXjz-Rh4

Please share and like this video, also write your comment here and subscribe our channel.
---------------------------------------------------------------------------------------------------------------------------------------
✅Our Free Books: https://codanics.com/books/abc....-of-statistics-for-d
✅Our website: https://www.codanics.com
✅Our Courses: https://www.codanics.com/courses
✅Our YouTube Channel: www.youtube.com/@Codanics
✅ Our whatsapp channel: https://whatsapp.com/channel/0....029Va7nRDq3QxRzGqaQv
✅Our Facebook Group: https://www.facebook.com/groups/codanics
✅Our Discord group for community Discussion: https://discord.gg/kDb8fHZe
✉️For more Details contact us at info@codanics.com

Master Power BI with Ram Boyapati - Expert Data Analyst

Are you looking to advance your career in Data Analytics? Join Ram Boyapati, with over 13 years of expertise in SQL Server, MSBI, and Power BI as a Data Analyst. Whether you're a fresher or have years of experience, our tailored programs will equip you with the skills demanded by today's IT industry.

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🎈 Industry Specific Scenario’s
🎈 Flexible Timings
🎈 Soft Copy of Material
🎈 Share Videos of each and every session.

--------------------------
Contact :+91 7989781302, +91 7997457228
💡 Check The Below Links


► Subscribe to Our Channel : https://youtube.com/@eclasess?si=23QvhFtswnkdTK27
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#datascience #rprogramming
Download the dataset used in the video: http://softlect.com/datasets/murders.csv
Download the dataset used in the video: http://softlect.com/datasets/GEStock.csv
Download the dataset used in the video: http://softlect.com/datasets/IBMStock.csv
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In this video, we will talk about Statistics for Data Science using R programming language, more specifically about the types of Statistical methods, different statistical measures and categorization of Descriptive Statistics.

What is Statistics?
Statistics is a form of mathematical analysis that uses quantified models, representations and synopses for a given set of experimental or real-life data. Statistics studies methodologies to gather, review, analyze and draw conclusions from data.

There are many different types of statistics pertaining to which situation you need to analyze. Statistics are used to make better business decisions

Statistical Measures
Some statistical measures include the following:
• Mean
• Regression analysis
• Skewness
• Variance
• Analysis of variance

Mean
A mean is the mathematical average of a group of two or more numerals. The mean for a specified set of numbers can be computed in multiple ways, including the arithmetic mean, which shows how well a specific commodity performs over time, and the geometric mean, which shows the performance results of an investor’s portfolio invested in that same commodity over the same period.

Regression Analysis
The regression analysis determines the extent to which specific factors such as interest rates, the price of a product, influence the price fluctuations of an asset. This is depicted in the form of a straight line called linear regression.

Skewness
Skewness describes the degree a set of data varies from the standard distribution in a set of statistical data. Most data sets, including commodity returns and stock prices, have either positive skew or negative skew.

Variance
Variance is a measurement of the span of numbers in a data set. The variance measures the distance each number in the set is from the mean. Variance can help determine the risk an investor might accept when buying an investment.

Understanding Statistics
Statistics is a term used to summarize a process that an analyst uses to characterize a data set. Statistical analysis involves the process of gathering and evaluating data and then summarizing the data into a mathematical form.

Statistics is used in various disciplines such as business, social sciences, etc. Two types of statistical methods are used in analyzing data: descriptive statistics and inferential statistics.

Descriptive statistics are used to summarize data from a sample exercising the mean or standard deviation. Inferential statistics are used when data is viewed as a subclass of a specific population.

What is Descriptive Statistics?
Descriptive statistics are brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire or a sample of a population.

Descriptive statistics are broken down into measures of central tendency and measures of variability (spread).

Measures of central tendency focus on the average or middle values of data sets; whereas, measures of variability focus on the dispersion of data. These two measures use graphs, tables, and general discussions to help people understand the meaning of the analyzed data.

Measures of central tendency include the mean, median, and mode. Measures of central tendency describe the centre position of a distribution for a data set. A person analyzes the frequency of each data point in the distribution and describes it using the mean, median, or mode, which measures the most common patterns of the analyzed data set.

Measures of variability include the standard deviation, variance, the minimum and maximum variables, and skewness. Measures of variability, or the measures of spread, aid in analyzing how spread-out the distribution is for a set of data. For example, while the measures of central tendency may give a person the average of a data set, it does not describe how the data is distributed within the set.

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Di video ini akan dijelaskan terkait permasalahan yang akan kita hadapi dan juga membahas sedikit tentang dataset yang akan digunakan.

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*********************************
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Call : +91-8019952427/ Whatsapp : +91-8019952427
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In this comprehensive video course, you will learn the essential skills you need to use Excel to analyze data.
You will learn how to:
1. Import and clean data.
2. Use formulas and functions to calculate data.
3. Create pivot tables and charts.
4. Perform EDA (Exploratory Data Analysis).
5. Identify trends and patterns in data.
6. Make data-driven decisions.
This course is perfect for beginners and experienced users alike. Whether you are new to Excel or you want to learn more advanced techniques, this course will help you master the skills you need to analyze data with Excel.

In this comprehensive video course, you will learn the essential skills you need to use Excel to analyze data.
You will learn how to:
1. Import and clean data.
2. Use formulas and functions to calculate data.
3. Create pivot tables and charts.
4. Perform EDA (Exploratory Data Analysis).
5. Identify trends and patterns in data.
6. Make data-driven decisions.
This course is perfect for beginners and experienced users alike. Whether you are new to Excel or you want to learn more advanced techniques, this course will help you master the skills you need to analyze data with Excel.

المحاضرة الخامسة (2):
دورة كاملة في تحليل البيانات باستخدام برنامج Excel
Full course in data analysis using Excel

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Data Analytics Course Day 1 Video On 12th Sept 2024
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Welcome to Isha Training Solutions.

To enroll for the “Data Analyst ” Course, pls WhatsApp me or call me on +91-8019952427.

For course content and further information, pls refer to below link
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*********************************
For further details, pls contact me.
Contact : Kumar Gupta
Call : +91-8019952427/ Whatsapp : +91-8019952427
kgupta.testingtraining@gmail.com

SPSS Statistics is a software package used for interactive, or batched, statistical analysis. Long produced by SPSS Inc., it was acquired by IBM in 2009. The current versions are named IBM SPSS Statistics. In this course you will how to use SPSS for data analysis. This #SPSS course is beginner friendly.

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Hierarchical Clustering - SPSS: An Introduction - 6.1 (1:37:00)
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المحاضرة الرابعة (2):
دورة كاملة في تحليل البيانات باستخدام برنامج Excel
Full course in data analysis using Excel

In this comprehensive video course, you will learn the essential skills you need to use Excel to analyze data.
You will learn how to:
1. Import and clean data.
2. Use formulas and functions to calculate data.
3. Create pivot tables and charts.
4. Perform EDA (Exploratory Data Analysis).
5. Identify trends and patterns in data.
6. Make data-driven decisions.
This course is perfect for beginners and experienced users alike. Whether you are new to Excel or you want to learn more advanced techniques, this course will help you master the skills you need to analyze data with Excel.

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The course is an introduction to Python-based data analytics.

You will get a basic understanding of the workings of Python to the point where you can confidently find and manipulate data sources and use a Jupyter environment to derive insights from your data.

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💻 Code: https://github.com/dbclinton/jupyter_data

✏️ Course developed by David Clinton.

⭐️ Contents ⭐️
⌨️ (06:50) Installing Python and Jupyter
⌨️ (09:35) Working with the Jupyter environment
⌨️ (12:05) Finding data sources and using APIs
⌨️ (16:35) Working with data
⌨️ (24:45) Plotting data
⌨️ (32:45) Understanding data

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This is the first tutorial of the complete course on data science in Hindi. The course will be covered in an interesting manner. Prior programming knowledge is not required to start this course. All the concepts will be covered from basics.

Welcome to our comprehensive Power BI tutorial series, where you'll embark on an exciting journey to master the art of data visualization and analysis using Microsoft Power BI.

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About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.
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In this comprehensive video course, you will learn the essential skills you need to use Excel to analyze data.
You will learn how to:
1. Import and clean data.
2. Use formulas and functions to calculate data.
3. Create pivot tables and charts.
4. Perform EDA (Exploratory Data Analysis).
5. Identify trends and patterns in data.
6. Make data-driven decisions.
This course is perfect for beginners and experienced users alike. Whether you are new to Excel or you want to learn more advanced techniques, this course will help you master the skills you need to analyze data with Excel.

Excel Data Analysis 02 files:
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This is a comprehensive and complete lesson in how to use Power Pivot & DAX Formulas to create reports and visualizations in Excel. It teaches the full process of building a Data Model, Building DAX formulas that you can use for dashboard reporting. This video teaches about the concepts that make Power Pivot work like star schema data modeling, filter context and context transition. If you want the how and whys of Power Pivot & DAX formulas, this is the right video for you.
Topics:
1. (00:00) Intro and overview of Standard PivotTable and Data Model Pivot Table
2. (03:06) 5 Steps in the Data Analysis Process
3. (03:38) Step #1: Get Data using Power Query.
4. (06:12) Show Power Pivot Ribbon Tab.
5. (06:56) Power Query to import text “.CSV” files from a folder, including explanation of Applied Steps and automatic queries created.
6. (11:34) Loading data to the Data Model with Import Data dialog box and using the “Only Create Connection” and the “Add this data to the Data Model”.
7. (12:56) Look at data in Data Model. Preview of Power Pivot for Excel window
8. (13:20) What is a Columnar Data? See how Data is compressed to a small size so that the Data Model can handle Big Data.
9. (15:16) Import Excel Tables to the Data Model using Power Query.
10. (15:29) Decimal Power Query Type is the most consistent Power Query Data Type for numbers with decimals, if you want accurate calculations. If the numbers are whole numbers, use Whole Number Power Query Data Type.
11. (17:01) Step #2: Build Star Schema Data Model.
12. (17:17) Create a Power Pivot Date Table.
13. (19:29) Create One-To-Many Relationships between Fact Table and Dimension Tables.
14. (21:48) Create DAX Calculated Column in Date Table for EOMonth.
15. (24:17) First look at ROW Context to make a calculation in each row in a DAX Calculated Column (or DAX Iterator).
16. (26:05) Create Total Sales Measure with 2 Step Process: 1) DAX Calculated Column for Line Sales, then 2) Measure for Total Sales.
17. (28:56) Second look at ROW Context to calculate line sales in each row of the table.
18. (30:25) SUMX Function, Iterator Function, to create Total Sales Measure. This is 1 Step Method.
19. (32:43) Should you use DAX Calculated Column? Or SUMX Iterator function Measure? What are trade offs?
20. (33:37) Step # 3: Build Reports. Build First Data Model PivotTable to show Year Month Sales Report. Start PivotTable from within Power Pivot for Excel window.
21. (34:48) PivotTable Fields task pane for a Data Model PivotTable. Which table is from Data Model?
22. (36:37) What is Filter Context? Visuals and explanations.
23. (38:44) How Filter Context helps with Big Data.
24. (39:55) Why some columns are not needed in PivotTable list.
25. (39:55) Why Implicit Measures are inefficient and cause problems.
26. (41:50) Hide Fields. Hide From Client Tool. Hide in Report View.
27. (42:57) Sort Month Names in Data Model.
28. (43:41) Step # 4: Visualize. Create Line Chart for Year / Month Sales to see sales trends over time.
29. (45:27) Create Power Pivot Data Model PivotTable from Excel Data tab.
30. (46:39) Create Regions / Year Sales Report.
31. (47:02) Create DAX Formula for YOY % Change. Learn about the DAX functions: CALCULATE, SAMEPERIODLASTYEAR, DIVIDE, HASONEVALUE and IF.
32. (47:54) CALCULATE function. Calculate Total Sales for last year.
33. (53:41) Create DAX Formula for Average Monthly Sales by Product and Year.
34. (54:54) Learn about VALUES function to get a unique list and deliver a table.
35. (55:25) Create AVERAGEX formula.
36. (56:33) Context Transition explanation and diagrams to learn how AVERAGEX and VALUES and the Total Sales Measure calculates average monthly sales with a much simpler formula than in the Excel worksheet.
37. (59:07) Warning about Context Transition. Why aggregate formula yields wrong answer in Iterator function, but Measure yields correct answer.
38. (01:00:15) Hidden CALCULATE function in each Measure. CALCULATE performs Context Transition.
39. (01:01:00) Include Zero Values in average using the IF Function in the second argument of AVERAGEX.
40. (01:02:52) Create Cross Tab Report with Data Model.
41. (01:03:13) Create Frequency Distribution with YOY % Change.
42. (01:04:00) COUNTROWS DAX function. Super Charged COUNTIFS and FREQUENCY.
43. (01:04:50) Using Variables to DAX Formulas. YOY % Change for Number Transactions.
44. (01:07:45) DAX Formatter web site.
45. (01:08:08) Frequency Data Model PivotTable.
46. (01:08:39) Step # 5: Get New Data and Refresh.
47. (01:11:33) Publishing to Power BI Online and making Report from a blank Excel Workbook.
48. (01:13:46) Comparing a Power Pivot Data Model PivotTable to a Standard PivotTable.
49. (01:15:28) Summary.
50. (01:16:04) Next Video

5 Excel tricks to boost your productivity!
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In this tutorial we go over 5 genius Excel skills to boost your productivity. Firstly we have importing data from the web into excel so we can have a live connection. This allows us to import any website data into Excel. Secondly, cleaning data using Power Query, which is faster than using Excel formulas.
Thirdly, using Alt Key shortcuts to reach any part of the ribbon and get things done faster. Fourth, using pivot tables for data analysis instead of Excel functions. Lastly, using the what-if analysis tool's data table to create different scenarios. As a bonus, we have automating with Excel Macros.

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Chapters:
0:00​ -​ Skill 1
1:27​ - Skill 2
3:57​ - Skill 3
6:11​ - Skill 4
8:31​ - Skill 5
11:20 - Bonus Skill

Learn how to perform algorithmic trading using Python in this complete course. Algorithmic trading means using computers to make investment decisions. Computer algorithms can make trades at a speed and frequency that is not possible by a human.

After learning the basics of algorithmic trading, you will learn how to build three algorithmic trading projects.

💻 Code: https://github.com/nickmccullu....m/algorithmic-tradin

✏️ Course developed by Nick McCullum. Learn more about Nick here: https://nickmccullum.com/

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Algorithmic Trading Fundamentals & API Basics
⌨️ (0:17:20) Building An Equal-Weight S&P 500 Index Fund
⌨️ (1:38:44) Building A Quantitative Momentum Investing Strategy
⌨️ (2:54:02) Building A Quantitative Value Investing Strategy

Note that this course is meant for educational purposes only. The data and information presented in this video is not investment advice. One benefit of this course is that you get access to unlimited scrambled test data (rather than live production data), so that you can experiment as much as you want without risking any money or paying any fees.

This course is original content created by freeCodeCamp. This content was created using data and a grant provided by IEX Cloud. You can learn more about IEX Cloud here: https://iexcloud.io/

Any opinions or assertions contained herein do not represent the opinions or beliefs of IEX Cloud, its third-party data providers, or any of its affiliates or employees.

👋 LESSON MATERIALS 🛑

You can access the datasets, code, quizzes and PDF notes for these lessons on our website: https://thegraphcourses.org/courses-portal/

This course is for anyone interested in learning R for data analysis.
Over 9 hours of instruction, you will:
• Learn to import, clean, transform, and summarize data.
• Create elegant data visualizations using the ggplot2 package.
• Publish your work as reports and presentations.
• Apply your new data analysis skills to health data questions and beyond.

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Answers to R FOUNDATIONS LESSON 3 are here: youtu.be/njZOGDyr3AE

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Chapters:
0:00 R FOUNDATIONS 1: SETTING UP
2:05 RStudio cloud
3:55 Windows
6:37 Mac
9:43 Wrap-up
10:23 R FOUNDATIONS 2: USING RSTUDIO
13:40 Source/Editor & Data viewer
17:34 Console
18:41 Environment, History, Files, Plots, Packages, Viewer, Help
28:17 RStudio options
32:43 Cheatsheets
34:18 R FOUNDATIONS 3: CODING BASICS
36:58 Comments, sections, R as a calculator
41:39 Formatting
44:52 R Objects
1:07:00 Functions, packages, pacman
1:23:53 Wrap-up
1:25:36 R FOUNDATIONS 4: DATA DIVE
1:29:50 Intro
1:39:12 Data exploration, visdat
1:51:36 Analyze a numeric variable
2:06:38 Analyze a categorical variable
2:13:58 Question answering & why not Excel?
2:20:06 Wrap-up
2:22:19 R FOUNDATIONS 5: RSTUDIO PROJECTS
2:24:35 Rstudio Cloud
2:25:53 Set up new project
2:38:44 Export data & plots
2:50:55 Wrap-up
2:51:43 R FOUNDATIONS 6: R MARKDOWN
2:56:18 YAML metadata & output formats
3:01:36 Visual mode & Markdown syntax
3:09:20 Options menu
3:10:19 Code chunks & code chunk options
3:17:03 Global options
3:19:09 Inline R code
3:21:26 Tables & Plots
3:26:51 Further resources, Quarto
3:29:34 Example analysis
3:37:13 Wrap-up
3:39:26 R FOUNDATIONS SNIPPET: PIPES
3:40:34 Example 1: quakes data
3:49:42 Example 2: varicella data
3:57:24 DATA UNTANGLED 1 | SELECT
4:06:00 Excluding columns with !
4:09:19 Helper functions for select()
4:15:42 Change column names with rename()
4:18:27 Wrap Up
4:19:24 DATA UNTANGLED 2 | FILTER
4:24:55 Relational operators
4:28:58 Combine conditions with & and |
4:33:10 Negate conditions with !
4:37:26 NA values
4:42:16 Wrap Up
4:43:36 DATA UNTANGLED 3 | MUTATE
4:53:16 Create a Boolean variable
4:58:51 Create a numeric variable based on a formula
5:02:04 Change a variable’s type
5:05:18 Wrap up
5:06:28 DATA UNTANGLED 4 | CASE_WHEN
5:15:59 The TRUE default argument
5:18:41 Match NA’s with is.na()
5:21:02 Keep default values of a variable
5:25:30 Multiple conditions
5:35:39 Order of priority of conditions
5:47:28 Binary conditions: dplyr::if_else()
5:50:03 Wrap up
5:51:01 DATA UNTANGLED 5 | GROUP_BY & SUMMARIZE
5:57:30 Grouped summaries
6:06:53 Ungrouping
6:10:31 Counting rows
6:18:08 Include missing combinations in summaries
6:26:30 Wrap-up
6:27:53 DATA UNTANGLED 6 | OTHER GROUPED OPERATIONS
6:29:35 Arrange by group
6:35:01 Filter by group
6:40:29 Mutate by group
6:48:09 Wrap-up
6:48:58 DATA UNTANGLED 7 | PIVOTING DATA
6:55:31 Wide to long
7:01:27 Long to wide
7:06:53 Long data better for analysis?
7:15:26 Wrap up
7:16:23 DATA ON DISPLAY 1 | GGPLOT2 INTRODUCTION
7:21:16 The Grammar of Graphics
7:31:23 Modifying layers
7:34:59 Other aesthetic mappings
7:40:27 Fixed aesthetics
7:46:00 Wrap-up
7:49:27 DATA ON DISPLAY 2 | SCATTERPLOTS AND SMOOTHING
7:54:36 Modify point aesthetics
8:03:08 Set fixed aesthetics
8:11:36 Add a trend line
8:20:21 Wrap-up
8:22:30 DATA ON DISPLAY 3 | LINES, SCALES & LABELS
8:29:06 Fixed aesthetics in geom_line()
8:33:36 Map data to multiple lines
8:39:13 Modify continuous scales
8:53:04 Label plots
9:01:08 Wrap up

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Learn Data Analysis in Python in this comprehensive course. Learn libraries like Pandas, Matplotlib, Numpy, and Sklearn.

This video is part of an 8-part course designed to give absolute beginners an idea of what Data Analysis looks like using Python.

What is Data Analysis? Data Analysis is the process of exploring, cleaning, transforming, and modeling data as a way to produce insightful conclusions or gather useful information. It is a field that is growing rapidly, along with Data Science, and one that is very high in demand. If you’re interested in taking that career route, or maybe just want to learn it as a skill, this course is for you!

Notebooks (In order)

Ep 1: https://colab.research.google.....com/drive/1AXcUsEQgb

Ep 2: https://colab.research.google.....com/drive/1yLO91Q73K

Ep 3: https://colab.research.google.....com/drive/1A3Nb9K1Ve

Ep 5: https://colab.research.google.....com/drive/1Do4JTWx4G

Ep 6: https://colab.research.google.....com/drive/1ZueQ_Xsd4

Ep 7: https://colab.research.google.....com/drive/1pWgO1ohFi

Ep 8: https://colab.research.google.....com/drive/1BfBpTg_qI

Documentation:

Pandas: https://pandas.pydata.org/docs/

Matplotlib: https://matplotlib.org/stable/index.html

AI Global Index (Used for majority of series): https://www.kaggle.com/dataset....s/katerynameleshenko

Timestamps:
0:00 - Intro
4:51 - Dataframes/datasets
20:30 - Data Exploration
49:08 - Data Cleaning
1:13:41 - Data Visualization
1:39:43 - Stat Functions & Correlation
1:57:24 - Linear Regressions
2:23:10 - Example Project

Codebasics Data Analyst Bootcamp Link:
https://codebasics.io/bootcamp....s/data-analytics-boo
-------------------------------------
Stuck? Book 1:1 call here - https://topmate.io/learnwidgiggs
-------------------------------------
Link for the Scenario based QnA in Power BI: https://youtube.com/playlist?l....ist=PLk-s1KYuT-PmgxT

Link for the Power Bi Interview QnA playlist :
https://youtube.com/playlist?l....ist=PLk-s1KYuT-Pk2a1

Link for the SQL QnA playlist :
https://youtube.com/playlist?l....ist=PLk-s1KYuT-Pk5y2

Link for the Data Warehousing QnA playlist :
https://youtube.com/playlist?l....ist=PLk-s1KYuT-PmIb7


☀ Connect with me Here on Social Media ☀
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Learn Data Analysis with Python in this comprehensive tutorial for beginners, with exercises included!
NOTE: Check description for updated Notebook links.

Data Analysis has been around for a long time, but up until a few years ago, it was practiced using closed, expensive and limited tools like Excel or Tableau. Python, SQL and other open libraries have changed Data Analysis forever.

In this tutorial you'll learn the whole process of Data Analysis: reading data from multiple sources (CSVs, SQL, Excel, etc), processing them using NumPy and Pandas, visualize them using Matplotlib and Seaborn and clean and process it to create reports.
Additionally, we've included a thorough Jupyter Notebook tutorial, and a quick Python reference to refresh your programming skills.

💻 Course created by Santiago Basulto from RMOTR
🔗 Check out all Data Science courses from RMOTR:

⚠️ Note: Instead of loading the notebooks on notebooks.ai, you should use Google Colab instead. Here are instructions on loading a notebook directly from GitHub into Google Colab:

 ⭐️ Course Contents ⭐️
⌨️ Part 1: Introduction
What is Data Analysis, why Python?, what other options are there? what's the cycle of a Data Analysis project? What's the difference between Data Analysis and Data Science?
🔗 Slides for this section:

⌨️ Part 2: Real Life Example of a Python/Pandas Data Analysis project (00:11:11)
A demonstration of a real life data analysis project using Python, Pandas, SQL and Seaborn. Don't worry, we'll dig deeper in the following sections
🔗 Notebooks:

⌨️ Part 3: Jupyter Notebooks Tutorial (00:30:50)
A step by step tutorial to learn how to use Juptyer Notebooks
🔗 Twitter Cheat Sheet:
🔗 Notebooks:

⌨️ Part 4: Intro to NumPy (01:04:58)
Learn why NumPy was such an important library for the data-processing world in Python. Learn about low level details of computations and memory storage, and why tools like Excel will always be limited when processing large volumes of data.
🔗 Notebooks:

⌨️ Part 5: Intro to Pandas (01:57:08)
Pandas is arguably the most important library for Data Processing in the Python world. Learn how it works and how its main data structure, the Data Frame, compares to other tools like spreadsheets or DFs used for Big Data
🔗 Notebooks:

⌨️ Part 6: Data Cleaning (02:47:18)
Learn the different types of issues that we'll face with our data: null values, invalid values, statistical outliers, etc, and how to clean them.
🔗 Notebooks:

⌨️ Part 7: Reading Data from other sources (03:25:15)
🔗 Notebooks:

⌨️ Part 8: Python Recap (03:55:19)
If your Python or coding skills are rusty, check out this section for a quick recap of Python main features and control flow structures.
🔗 Notebooks:

--

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Read hundreds of articles on programming:

And subscribe for new videos on technology every day:

source:

Limited Time Offer Enroll Now

👉 https://www.skillsiya.com/cour....ses/Data-Analytics-B

Use code FZFACT for a limited time discount – get the full course for just ₹2,999! 🚀

FREE Resources link: https://medium.com/@Sameerah_w....rites/learn-data-ana

SQL for Data Analysis and Data Science in 2021
SQL by SQL example, SQL Challenges& SQL Final Exam using Real World SQL Database for Data Science & Data Analysis


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⭕Course link: https://www.udemy.com/course/s....ql-course-for-data-s


⭕Coupon code: F663AE5540E61DB5D948


✔️Background music

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This video is part of an online course, Data Analysis with R. Check out the course here: https://www.udacity.com/course/ud651. This course was designed as part of a program to help you and others become a Data Analyst.
You can check out the full details of the program here: https://www.udacity.com/course/nd002.

Link to Free Data Analysis Class here at excelisfun YouTube channel: https://www.youtube.com/playli....st?list=PLrRPvpgDmw0
This is a free educational resource for people how want to learn about the Basics of Data Analysis and Business Intelligence using Microsoft Power Tools such as, PivotTables, Power Query, Power Pivot, Power BI Desktop and more.
This video is an introduction to the Excel Data Analysis Basics, E-DAB Class, taught by Microsoft Excel MVP and Highline College Professor, Mike Girvin. This video shows you:
1. How to access the free class
2. How to navigate the class using YouTube’s new Learning Playlist.
3. How to download Excel files and free Data Analysis pdf notes.

Course review learnbay Data Analysis
#datascience #python #pune #practice

You will learn how to prepare Power BI report in only 5 minutes, without much expertise. I will explain you all 3 methods of creating visualisation in Power BI Desktop step by step.

Table of contents:
1. Welcome note 00:00
2. Contents Intro Video 00:25
3. Description of imported data in Power BI 00:33
4. Different techniques to prepare visualization in Power BI Desktop 01:15
5. How to use Q&A option to create chart and graph in Power BI desktop? 02:35
6. How to create Bar Chart in Power BI Desktop? 02:45
7. How to create Column Chart in Power BI Desktop? 03:26
8. How to create Line Chart in Power BI Desktop? 03:51
9. How to create Area Chart in Power BI Desktop? 04:49
10. How to create Waterfall Chart in Power BI Desktop? 05:42
11. How to create Funnel Chart in Power BI Desktop? 06:52
12. Summarization of what we learned 07:53
13. What we will learn in next video 08:18
15. Thank you note 09:00
-----------------------------------------
Subscribe to my channel and take advantage of the upcoming videos in this data analysis series: https://www.youtube.com/user/s....andipbhuva?sub_confi

Fundamental video for Data Analysis:
Data Analysis Part1 (Fundamentals of Data Analysis and Data Analyst and Tools used in Data Analysis): https://youtu.be/mlqf4Weq1yA

Data Analysis Part2 (Excel Tutorial for preparing Interactive Excel Sales Dashboard) : https://youtu.be/L40wUP9I5bw

Data Analysis Full Course Part-3 | Microsoft Power BI Tutorial for Beginners | What Is Power BI? | How to download and Install Power BI? | 2021: https://youtu.be/i_cFJv9owiY

Data Analysis Full Course Part-4 | Microsoft Power BI Tutorial for Beginners | How to transform data in Power BI Desktop | Learn Data Profiling: https://youtu.be/jg5oQxHLKbI

Data Analysis Full Course Part-5 | Data Analysis Full Course Part-5 | Microsoft Power BI Tutorial for Beginners | Learn Data Modeling: https://youtu.be/hLXmcnou7BU

Data Analysis Full Course Part-6 | Master the Report View |Microsoft Power BI Tutorial for Beginners: https://youtu.be/UJ0vx10Rg5k

Please check out my other career development videos like resume writing video and most asked interview questions and answers video:

How to write an Impressive Resume (English + Hindi)
https://youtu.be/YSM3vFKrrA8

Top 10 Most Asked Interview Questions and Answers | Job Interview Tips | 2021
https://youtu.be/0YPcjxqEHG8
----------------
# powerbireport #powerbitutorial #PowerBIReportView, #DataVisualizationInPowerBI,
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#whatispowerbi #PowerBIDashboard #DataTransforminPowerBI #BulkOperationonDataInPowerBI #powerbianalytics #powerbireporting #DataModelingInPowerBI, #HowtocreatearelationshipinpowerBI, #mspowerbi #bidata #businessanalyticssoftware #bidashboard #dataintelligencetools #bireportingtools #businessintelligencesoftwaretools #powerbidatascience #businessanalyticspowerbi #powerbifordata #powerbifordataanalysis #powerbidataanalytics #powerbidataanalysisandvisualization #businessanalyticstools #analysisinpowerbi #analyticsonpowerbi #dataanalyticsusingpowerbi #powerbifordataanalytics #howtousepowerbifordataanalytics #datavisualizationtoolspowerbi #dataanalysisusingpowerbi

In this series, we'll go over data analysis with Python. We'll learn the basics of statistics used in data analysis, learn how to implement it in Python and also go over data visualization using Python. In the course, you'll also learn how to use google colab. This course is designed for absolute beginners to data analysis in Python.

Link to colab notebook: https://colab.research.google.....com/drive/1sT91MdLoi

#python #datascience #datanalytics #statistics

- Data Science
- Statistics
- Data Analysis
- Pandas
- Matplotlib
- Seaborn

Deep Learning playlist: https://www.youtube.com/watch?v=Gq-zP3uRqM4&list=PLU7aW4OZeUzwLSAwf26ZD7XM0b9mSvSQ5

Machine Learing playlist: https://www.youtube.com/watch?v=kz2pgmZYMxQ&list=PLU7aW4OZeUzzxSn5QU2ck_6cE2GK23Xo-

Pandas: https://youtube.com/playlist?list=PLU...
seaborn: https://youtube.com/playlist?list=PLU...

Follow me on social media:
Discord community server: https://discord.gg/VJEVXKu2
Instagram: https://www.instagram.com/codehouse2​​​
twitter: https://twitter.com/Prince_Krampah
Channel main page: https://www.youtube.com/c/CodeWithPri...

Please like, share and subscribe to this channel for more of such videos.

What other skills you need to know as a data analyst? ft. @jessramosdata ✨ Follow for all tech & career tips ✨ #sundaskhalid #jessramos #womeninstem #careertips #technology #datanalyst #JobTips

Learn Data Visualization with D3, JavaScript, and React in this 17-hour course.
Part 2: https://youtu.be/H2qPeJx1RDI

🎥 Created by Curran Kelleher. His channel: https://www.youtube.com/channe....l/UCSwd_9jyX4YtDYm9p

⭐️Sections/Code⭐️
00:00 Datavis 2020 Introduction
05:22 What is Data Visualization
14:30 Week 1 Q & A
22:49 Finding Visualizations
29:17 Introduction to Web Technologies
39:11 Let's Make a Face Part I (HTML, CSS, SVG)
💻 https://vizhub.com/curran/e54a....ba86481147a482f33976
💻 https://vizhub.com/curran/fbf0....dfea4bcc41f898f3ab9f
57:02 Let's Make a Face Part II (React)
💻 https://vizhub.com/curran/fbf0....dfea4bcc41f898f3ab9f
💻 https://vizhub.com/curran/3a00....f5c877ac4e30b7269c17
1:14:57 Let's Make a Face Part III (React & D3)
💻 https://vizhub.com/curran/3a00....f5c877ac4e30b7269c17
💻 https://vizhub.com/curran/4297....411eba0a4287a70f5da9
1:26:53 Let's Make a Face Part IV (React Components & ES6)
💻 https://vizhub.com/curran/4297....411eba0a4287a70f5da9
💻 https://vizhub.com/curran/e671....4750d49b4158868b08e8
1:37:05 Let's Make a Face Part V multiple files with ES6 modules
💻 https://vizhub.com/curran/4297....411eba0a4287a70f5da9
💻 https://vizhub.com/curran/be34....ae5bb6ef438b9047b0c7
1:47:01 Let's Make a Face Part VI (Compartmentalizing Complexity)
💻 https://vizhub.com/curran/be34....ae5bb6ef438b9047b0c7
💻 https://vizhub.com/curran/7da6....2f462dfd42fd87843842
1:58:57 Coronavirus Dataviz Hackathon Part I (Coronavirus Dataviz)
2:08:48 Preparing Data for Visualization
2:18:46 Loading Data with Fetch, Promises, Aync & Await
💻 https://vizhub.com/curran/6ec4....f3dd10ac4fcdb5f759d3
2:29:11 Interaction With React
💻 https://vizhub.com/curran/3a00....f5c877ac4e30b7269c17?edit=files&file=index.js
💻 https://vizhub.com/curran/9827ad65ee864431a94c95794b191cb2?edit=files&file=index.js
2:48:28 Parsing CSV Data with D3
💻 https://vizhub.com/curran/6ec4....f3dd10ac4fcdb5f759d3
2:57:18 Loading Data in React
💻 https://vizhub.com/curran/f6b3....cffc0c784b8bb9d6f758
3:08:40 Inputs for Visualization: Data & Tasks
3:19:32 Iterating Fast with Vega Lite API
💻 https://vizhub.com/curran/7392....ee124c8249b884e735ab
💻 https://vizhub.com/curran/717a....939bb09b4b3297b62c20
3:50:33 Marks & Channels
4:26:43 Visualizing Data with React & D3
💻 https://vizhub.com/curran/1e2e....55a2c06b478586a7ea8e
4:43:08 Making a Bar Chart with React & D3
💻 https://vizhub.com/curran/72d5....6b59a206431090081f2b
4:57:51 Margins and Axes
💻 https://vizhub.com/curran/b906....9ad0a02c4ab5b29f0b8d
5:17:23 Refactoring a Bar Chart
💻 https://vizhub.com/curran/4624....fb61b2e34c208bad8e21
5:29:00 Stylized Bar Chart
💻 https://vizhub.com/curran/32df....c8d2393844c6a5b9d199
5:53:13 Making a Scatter Plot
💻 https://vizhub.com/curran/3d63....1093c2334030a6b27fa9
6:15:29 Working with Time
💻 https://vizhub.com/curran/73bc....db68be6b4500b03827c9
6:23:37 Making a Line Chart
💻 https://vizhub.com/curran/f1c2....5845b6324832957d3bac
6:37:29 Preparing Geospatial Data
💻 https://mapshaper.org/
6:45:35 Making a World Map with React & D3
💻 https://vizhub.com/curran/295f....06f6efd749f0acc19b69
7:11:24 Menus with React
💻 https://vizhub.com/curran/6d60....bcc26780476f9169f1a3
7:27:40 Scatter Plot with Menus
💻 https://vizhub.com/curran/f149....be87d69e40d88d567d36
7:45:57 Polished Scatter Plot with Menus
💻 https://vizhub.com/curran/e3f5....f029b82f44a084d73806
8:06:23 Scatter Plot with Color
💻 https://vizhub.com/curran/9b88....1e62cb2442ea928eb89b
8:13:24 Making a Color Legend
💻 https://vizhub.com/curran/16f7....a618a7f84a5085b0fff6
8:28:27 Interactive Color Legend
💻 https://vizhub.com/curran/8b69....9c4000704216a709adfe
8:46:49 Points on a Map
💻 https://vizhub.com/curran/4a94....ec9d1cd348d394e69e90
8:58:35 Using Size
💻 https://vizhub.com/curran/118d....7f70085246a58dc7a374
9:12:02 Missing Migrants
💻 https://vizhub.com/curran/73bc....db68be6b4500b03827c9
💻 https://vizhub.com/curran/6a46....b0e07499423a91eb72d4
9:23:26 Missing Migrants Part II: Aggregation by Month
💻 https://vizhub.com/curran/e1b2....52a7e4b0455093444008
9:47:34 Missing Migrants Part III: On a Map
💻 https://vizhub.com/curran/2d82....ff9133fa4b5c8cb3ccad
9:56:46 Multiple Views
💻 https://vizhub.com/curran/018b....e07cf0a4435ba09c0d8b
10:09:23 Why Use Modules
10:11:48 Multiple Views Cleanup
💻 https://vizhub.com/curran/1c80....f00843da4307b5e2f6d5
10:32:17 Multiple Views with Brushing
💻 https://vizhub.com/curran/88b3....3d525e7f494c85bfc39f
10:58:34 React Performance Optimization
💻 https://vizhub.com/curran/a95f....227912474d4a9bbe88a3
11:20:10 Choropleth Map
💻 https://vizhub.com/curran/ed32....a7ae82e14e35aa38c941
11:30:11 Log Scales
💻 https://vizhub.com/curran/88bb....1e7d70af4587991386a1

More in Part 2: https://youtu.be/H2qPeJx1RDI

Looking to upgrade your skills and take your career to the next level? At Oranet, we offer a wide range of IT courses, from Business Analytics with Excel Pro to DevOps, Data Analysis, Python, and more. Whether you're interested in AWS, Google, Microsoft, Oracle, or Linux courses, we've got you covered! Join our live virtual classes and become an expert in the most in-demand technologies. Don't miss out on exclusive discounts! 🚀

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Data is everything (everywhere) and everything is data.
In this course you will the fundamentals of data and data analysis and proceed to kick start your career as a HIGH-INCOME EARNER in the global technology industry

0) 00:00 - Topics
1) 04:18 - Introduction
2) 08:58 - SSIS Installation
3) 16:56 - Components of SSIS
4) 23:03 - What is Control flow
5) 26:50 - What is Data Flow
6) 44:19 - SSIS Transformations
Derived column , Type Casting
Copy Column, sort, Merge ,
Group by, pivot, multicast, etc...
7) 01:51:15 - Control Flow Tasks
Precedence Constraint
8) 02:22:52 - Variables Expressions
9) 02:38:45 - Containers
Sequence, for loop, for each loop
9) 03:11:23 - Event Handlers
10) 03:22:58 - Execute Package Task
(Parent - Child Package)
11) 03:28:07 - Blocking / Non Blocking / Semi Blocking
12) 03:42:25 - Performance Improvement
13) 03:48:10 - SSIS Catalog (Deployment)
14) 03:58:42 - Sql Server Agent (Schedule Jobs)



#SSIS #SSISTutorials #Complete

✉ Business Queries / Analytics Consulting ✉ : analyticswithnags@gmail.com

💬 For Learners Post queries and Interact 💬
Telegram Channel - http://t.me/analyticswithnags
Linkedin Page - https://www.linkedin.com/company/analyticswithnags



Complete Playlists

Power BI Tutorials - Complete Playlist 📚📖 https://www.youtube.com/watch?v=T_bRcvmOMSM&list=PLjNd3r1KLjQt0xN_y8F6BSIOVNvdQmq4d
Power BI Desktop Tips and Tricks 📚📖 https://www.youtube.com/watch?v=PyFQh8MmDWo&list=PLjNd3r1KLjQv4ds9tM-HbWDrrugMADmgp
Power BI DAX - Complete Playlist 📚📖 https://www.youtube.com/watch?v=sCAQtqHINAQ&list=PLjNd3r1KLjQuVWrPuygE8QwEmCL6rrUrx
Power BI Services Playlist 📚📖 https://www.youtube.com/watch?v=F1BtmioYzGw&list=PLjNd3r1KLjQvi8p21uS522Xi3qEiFQH2r
Power BI Project Dashboards - Power BI Realtime Projects - Playlist 📚📖 https://www.youtube.com/watch?v=wS2Hw9CPJeY&list=PLjNd3r1KLjQty8rRYWwTUhS_gnzk0f2VK

Data Warehouse Tutorials 📚📖 https://www.youtube.com/watch?v=t52xNJTBicc&list=PLjNd3r1KLjQu4f2V9aa9C7NHqn-lTqppN
SQL Full Course | SQL Tutorial For Beginners 📚📖 https://www.youtube.com/watch?v=5FrBJ4PXj2s&list=PLjNd3r1KLjQtFEklcPDhidqC_2lmpjk5H
SSAS Tutorials - SQL Server Analysis Services 📚📖 https://www.youtube.com/watch?v=0YY7_k-Asmk&list=PLjNd3r1KLjQvvRu_EZ-TSydhIqNr3ZG94
SSIS Tutorials - SQL Server Integration Services 📚📖 https://www.youtube.com/watch?v=YyL88pQTFmk&list=PLjNd3r1KLjQsh6EP222gEz_XmW_DcvhXi

Power BI Interview Topics 📚📖 https://www.youtube.com/watch?v=Om_DqqvZWOM&list=PLjNd3r1KLjQtX-KTIk1_CjG5_3b5dxnGI
MSBI (SSIS,SSAS,SSRS) Interview Topics 📚📖 https://www.youtube.com/watch?v=bZRuQ6XJFYk&list=PLjNd3r1KLjQvj26IO4Wxz40YA198zVxP-

Excel for Data Analysis 📚📖 https://www.youtube.com/watch?v=dMBM9KamF4k&list=PLjNd3r1KLjQtfYL5UUfd92ME0CbL9uPKF
Power BI + R 📚📖 https://www.youtube.com/watch?v=dMBM9KamF4k&list=PLjNd3r1KLjQvPFEU7rlhwnw9fvBP40-2F
Azure for Analytics - Complete Tutorials 📚📖 https://www.youtube.com/watch?v=dMBM9KamF4k&list=PLjNd3r1KLjQsQqRO7qInxEeX3a4DGRj1k

Catch with Nags 📚📖 https://www.youtube.com/watch?v=_qZZCD26quw&list=PLjNd3r1KLjQstljLO-5SLmCM2AThWenqw
Nags Checklist 📚📖 https://www.youtube.com/watch?v=auQbMvQSx0w&list=PLjNd3r1KLjQv1zMF08IjuCIsG1Inuv2cF
Visuals with Nags 📚📖 https://www.youtube.com/watch?v=LfEz7jUAbEc&list=PLjNd3r1KLjQtDEEeTGmcouBc0WJQftvGv

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Learn about relational and non-relational database management systems in this course.

This course was created by Professor Immanuel Trummer, PhD. He is an assistant professor for computer science at Cornell University.
🐦 Follow Professor Trummer on Twitter: https://twitter.com/ImmanuelTrummer

🐦 Immanuel Trummer YouTube Channel https://www.youtube.com/channe....l/UCRPom3J1CUThzJIJ5

You will learn how to query database systems via languages such as SQL (the structured query language). Then, you will see how database systems work internally, how they store and index data, how they process and optimize queries, and how they process transactions while providing guarantees such as isolation, atomicity, and durability (ACID guarantees).

The course addresses questions of database design and discusses novel approaches to data management via NoSQL or NewSQL systems. Finally, the course will discuss about graph, stream, and spatial data, and about systems that are specialized for those data types. The lectures are from the Fall 2020 online lecture at Cornell by Prof. Trummer (www.itrummer.org).

⭐️ Course Contents ⭐️
⌨️ (0:00:00) The Structured Query Language (SQL)

⌨️ (3:04:52) Storing and Indexing Data
⌨️ (5:52:44) Relational Data Processing
⌨️ (10:40:23) Transaction Processing
⌨️ (https://youtu.be/lxEdaElkQhQ) Database Design
⌨️ (https://youtu.be/lxEdaElkQhQ) Beyond Relational Data

⭐️ Additional Reading ⭐️
About the first two thirds of the course are based on the textbook "Database Management Systems" by Raghu Ramakrishnan and Johannes Gehrke. The last third of the course discusses recently proposed systems, more details about them can be found in the corresponding research papers.

hii guyz once again welcome to our YouTube channel and as you know this part 6 after this part you will become professional data analyst this last part so please focused course and also comments which type of course you want

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About course=The first thing you need to know about this course, is that this is NOT your granddad’s Excel.

Instead of the same old spreadsheet stuff, we’ll do a deep dive on a truly revolutionary set of tools that empower you to do industrial-strength Business Intelligence: the art and science of transforming data – usually massive amounts of it – into meaningful, actionable insights.

In the past, doing “real” BI meant using expensive enterprise software that only a select few people would have access to anyway. But with what you’ll learn in this course, you’ll be building robust Business Intelligence solutions in no time, using nothing more than an Excel spreadsheet

First up, we’ll dive into Power Query, a feature-packed yet easy to use tool for extracting, transforming, and loading (ETL for short) data from just about any source you can imagine into Excel. From text files to databases, wherever the data you want to analyze might be stored, you can use Power Query to pull it into Excel, and then transform it however you need to support your analysis.

Next, there’s an optional section on Pivot Tables, just in case you’re not already familiar with them. While Pivot Tables may not be a revolutionary new feature in and of themselves, they nonetheless play a crucial role in the Excel Business Intelligence landscape.

We’ll then learn to turn those Pivot Tables into “Power” Pivot Tables, by connecting them to the Excel Data Model…which is basically a relational database that lives right inside your Excel spreadsheet! This will allow us to mash up and analyze multiple datasets in a single Pivot Table…no VLOOKUPS required!And remember how Excel usually starts to sputter out once you try to play around with more than a couple hundred thousand rows of data? No more! Power Pivot let’s you work with up to hundreds of millions of records in a single Excel file.

Then, so we can get the absolute most out of our Data Model (and into our Power Pivot Tables), we’ll learn DAX, an incredibly powerful formula language for creating complex calculations that you can drop right into your Pivots.Since the basics of DAX syntax are easy to pick up if you’re already familiar with Excel formulas,

Of course, all that number crunching doesn’t help much if we can’t present those numbers in an intuitive, easily digestible way. That’s why I close the course out with a series of powerful visualization techniques – from conditional formatting to Pivot Charts – that will transform your calculations into insights that can be used to make real-world decisions.We’ll even explore techniques for building dynamic dashboards in Excel, using Slicers and Timelines to not only filter our charts, but actually change the metrics we display in them. And all supported by the Data Model’s capacity for juggling hundreds of millions of rows of data in a single spreadsheet.
And in each section, I use hands-on demos, practical examples, and intuitive, common-sense explanations to teach you these concepts in a way that will help you see the connection between your new skills and the problems you’re trying to solve on the job.

But just as importantly, I’ve packed the course with TONS of exercises – ranging from straightforward to challenging – that will help you retain, and even build on, what you’ve learned.

So if you want to master these game-changing tools and build professional-grade Business Intelligence solutions right on your desktop, all you need is Microsoft Excel – and this course – to do it. I look forward to seeing you there!

Who this course is for:
Aspiring Analysts who want to take their careers to the next level by unleashing Microsoft Excel’s Business Intelligence functionality to build data solutions that stand out and get noticed
Data Professionals who want to quickly augment their skills by mastering an easy to use, yet industrial-strength Business Intelligence toolset
Business owners or executives who want to empower their employees to deliver self-service Business Intelligence without buying expensive, specialized software
Any Excel user who wants to unlock the secrets of their data using the best-in-class analytical tools right in their Excel spreadsheet

Requirements:
Microsoft Excel 2013 or above
A Windows PC (unfortunately, most of these tools won’t work on Excel for Mac)
Basic knowledge of Microsoft Excel, especially formulas and functions

About channel=
In this channel we are providing free courses for you. for first time ever in YouTube and channel is run by a fahad ansari

For more information or contact Me
my official Gmail account
fahad786edu@gmail.com

If you spend a lot of time extracting, transforming, or analyzing data from databases, - or you're aiming for one of the many highly paid career paths that rely heavily on this skill - then this course is for you.

Learning to query databases with SQL is a substantial part of highly paid careers such as Data Analyst and Business Intelligence Analyst, but also provides a strong foundation for even more exotic roles like that of a Data Scientist. Experienced Data Scientists will tell you that the majority of their time isn't spent tuning machine learning algorithms, but rather preparing and cleaning data for use by those algorithms - something SQL does exceptionally well.

In this course, I have tried to avoid simply regurgitating an encyclopedia of facts about SQL, an approach that is all too common in introductory books and courses on programming. Instead, I carefully curated certain concepts and techniques that I have found to provide the most "bang for your buck" over my decade of experience as a data professional.

This enabled me to condense a complete course on SQL into just 36 instructional videos, averaging less than 10 minutes in length. So if you can commit to a video a day, in just over one month you’ll have added an extremely valuable and lucrative skill to your arsenal (and just as importantly, your resume!).

And to make sure all that knowledge sticks, I’ve included exercises...LOTS of exercises. Unlike most courses, which only feature sporadic opportunities to practice what you’ve learned, this course has practice problems after almost every video - so you can reinforce concepts right away.

Take it from someone who has built their career almost entirely on self-taught technical skills: it’s worth the effort. Several recent surveys have shown that SQL is actually the MOST in-demand tech skill sought after by recruiters!

In short, learning SQL can change your life, if you put in the work Let me be your guide to this next step in your career - I think you’ll find the journey a lot less daunting, and maybe even a little more fun, than you would have ever expected.

What you’ll learn
Use SQL to apply complex criteria and transformations to database data
Master SQL functions for sophisticated data manipulation
Leverage an understanding of relational database design to link together data stored across multiple tables
Use aggregate queries to produce summarized views and analysis
Be comfortable putting SQL and SQL Server on your resume
Gain experience with the kind of SQL coding problems you are likely to encounter in an interview
Are there any course requirements or prerequisites?
Basic computer literacy
An installation of Windows 10 or later
Who this course is for:
Aspiring Data Analysts or Business Intelligence Analysts looking to break into these fields by learning SQL
Data Scientists trying to improve their data cleaning and transformation skills by learning SQL
Non-technical business professionals such as business analysts and project managers trying to gain a better understanding of the technical domains they interact with

PRACTICE STATS, SQL, AND PYTHON HERE: https://stratascratch.com/?via=shashank

Patreon: https://www.patreon.com/shashankkalanithi

This is an overview of Chapter 1 of Practical Statistics for Data Scientists. I'll be going over the first couple of chapters of this book because the later chapters cover similar materials from my Hands on Machine Learning book overview videos.

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If you spend a lot of time extracting, transforming, or analyzing data from databases, - or you're aiming for one of the many highly paid career paths that rely heavily on this skill - then this course is for you.

Learning to query databases with SQL is a substantial part of highly paid careers such as Data Analyst and Business Intelligence Analyst, but also provides a strong foundation for even more exotic roles like that of a Data Scientist. Experienced Data Scientists will tell you that the majority of their time isn't spent tuning machine learning algorithms, but rather preparing and cleaning data for use by those algorithms - something SQL does exceptionally well.

In this course, I have tried to avoid simply regurgitating an encyclopedia of facts about SQL, an approach that is all too common in introductory books and courses on programming. Instead, I carefully curated certain concepts and techniques that I have found to provide the most "bang for your buck" over my decade of experience as a data professional.

This enabled me to condense a complete course on SQL into just 36 instructional videos, averaging less than 10 minutes in length. So if you can commit to a video a day, in just over one month you’ll have added an extremely valuable and lucrative skill to your arsenal (and just as importantly, your resume!).

And to make sure all that knowledge sticks, I’ve included exercises...LOTS of exercises. Unlike most courses, which only feature sporadic opportunities to practice what you’ve learned, this course has practice problems after almost every video - so you can reinforce concepts right away.

Take it from someone who has built their career almost entirely on self-taught technical skills: it’s worth the effort. Several recent surveys have shown that SQL is actually the MOST in-demand tech skill sought after by recruiters!

In short, learning SQL can change your life, if you put in the work Let me be your guide to this next step in your career - I think you’ll find the journey a lot less daunting, and maybe even a little more fun, than you would have ever expected.

What you’ll learn
Use SQL to apply complex criteria and transformations to database data
Master SQL functions for sophisticated data manipulation
Leverage an understanding of relational database design to link together data stored across multiple tables
Use aggregate queries to produce summarized views and analysis
Be comfortable putting SQL and SQL Server on your resume
Gain experience with the kind of SQL coding problems you are likely to encounter in an interview
Are there any course requirements or prerequisites?
Basic computer literacy
An installation of Windows 10 or later
Who this course is for:
Aspiring Data Analysts or Business Intelligence Analysts looking to break into these fields by learning SQL
Data Scientists trying to improve their data cleaning and transformation skills by learning SQL
Non-technical business professionals such as business analysts and project managers trying to gain a better understanding of the technical domains they interact with

(1) Data Analysis
(2) Data Analytics
(3) Qualitative
(3) Quantitative

PPT IIT ROORKEE DATA ANALYTICS
https://drive.google.com/file/....d/14yCuqxUqfYJbLJZcO

In this series, we'll go over data analysis with Python. We'll learn the basics of statistics used in data analysis, learn how to implement it in Python and also go over data visualization using Python. In the course, you'll also learn how to use google colab. This course is designed for absolute beginners to data analysis in Python.

Link to colab notebook: https://colab.research.google.....com/drive/1sT91MdLoi

#python #datascience #datanalytics #statistics

- Data Science
- Statistics
- Data Analysis
- Pandas
- Matplotlib
- Seaborn

Deep Learning playlist: https://www.youtube.com/watch?v=Gq-zP3uRqM4&list=PLU7aW4OZeUzwLSAwf26ZD7XM0b9mSvSQ5

Machine Learing playlist: https://www.youtube.com/watch?v=kz2pgmZYMxQ&list=PLU7aW4OZeUzzxSn5QU2ck_6cE2GK23Xo-

Pandas: https://youtube.com/playlist?list=PLU...
seaborn: https://youtube.com/playlist?list=PLU...

Follow me on social media:
Discord community server: https://discord.gg/VJEVXKu2
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Please like, share and subscribe to this channel for more of such videos.

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This Excel Tutorial full course will help you get started with Excel and explore the features it offers. You will take a tour to understand Excel basics and look at how to write functions, sort, and filter data, how to import data and split data into multiple columns, learn about sumif and countif functions, and many more functions and formulas available in Microsoft Excel.

Dataset Link - https://drive.google.com/drive..../folders/1SHluFgVDj_

00:01:18 Introduction to MS Excel
00:04:47 Excel Basics
00:21:41 Lock Cells in Excel
00:27:09 Page Setup in Excel
00:45:13 What if Analysis
00:49:34 Charts in Excel
01:07:50 Data Validation in Excel
01:34:20 Lookup Functions in Excel
02:14:20 Slicers in Excel
02:18:42 Excel Budget Template
02:25:35 MIS Report in Excel
02:35:43 Excel Macros
02:47:09 Excel VBA
03:37:56 Regression in Excel
04:04:32 Excel Power Query
05:29:50 Excel Interview Questions

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⏩ Check out the Excel tutorial videos: https://www.youtube.com/watch?v=nPkmWE4JCfE&list=PLEiEAq2VkUUKf8aLrspLg3zuyJ5S-5K5S

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What is Microsoft Excel?
Excel is one of the best applications available on the market for creating spreadsheets to crunch numbers and dashboard reports as well as storing and administering data. This software first appeared on the scene back in 1987, and since then it has grown to become one of the most popular pieces of software for home or business.

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

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Machine learning with Python | Full Course | Data Exploration and Analysis

Every Tuesday at 06.00 PM GMT

The module manager and lecturer is
Anthony NG

The playlist of this course:
https://www.youtube.com/playli....st?list=PLH5_eZVldmt

Follow us on Instagram
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Follow us on Facebook
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Check other courses
https://www.youtube.com/channe....l/UCE1RgRW359YSjUVPm


#machinelearning #linear_regression #deep_learning


What is data exploration in data analysis?
,What is data exploration in data analysis?
,What is done in data exploration?
,What is done in data exploration?
,What are the steps of exploratory data analysis?
,What are the steps of exploratory data analysis?
,What is data exploration in ML?
,What is data exploration in ML?
,What is data exploration in SQL?
,What is data exploration in SQL?
,Why do we perform exploratory data analysis?
,How do you explore data?
,How do you use data exploration in Excel?
,What is exploratory data analysis example?
,What are the two goals of exploratory data analysis?
,What is EDA in Python?
,What is data exploration in AI?
,What is the difference between data mining and data exploration?
,What is Tableau used for?

In this series, we'll go over data analysis with Python. We'll learn the basics of statistics used in data analysis, learn how to implement it in Python and also go over data visualization using Python. In the course, you'll also learn how to use google colab. This course is designed for absolute beginners to data analysis in Python.

Link to colab notebook: https://colab.research.google.....com/drive/1sT91MdLoi

#python #datascience #datanalytics #statistics

- Data Science
- Statistics
- Data Analysis
- Pandas
- Matplotlib
- Seaborn

Deep Learning playlist: https://www.youtube.com/watch?v=Gq-zP3uRqM4&list=PLU7aW4OZeUzwLSAwf26ZD7XM0b9mSvSQ5

Machine Learing playlist: https://www.youtube.com/watch?v=kz2pgmZYMxQ&list=PLU7aW4OZeUzzxSn5QU2ck_6cE2GK23Xo-

Pandas: https://youtube.com/playlist?list=PLU...
seaborn: https://youtube.com/playlist?list=PLU...

Follow me on social media:
Discord community server: https://discord.gg/VJEVXKu2
Instagram: https://www.instagram.com/codehouse2​​​
twitter: https://twitter.com/Prince_Krampah
Channel main page: https://www.youtube.com/c/CodeWithPri...

Please like, share and subscribe to this channel for more of such videos.

Overwhelmed By Data, Looker Studio Makes Data Analysis Effortless.

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Learn Data Analysis with Looker Studio in our advanced course starting on May 28th, 2024

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Introduction to Data Analysis Using Excel | Free Course from Coursera

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This video is about:

how to earn money online with data analysis jobs,
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=======================================

✅️ DISCLAIMER

This video is only intended for informational purposes. Images, videos, and clips used from Instagram, Facebook,  YouTube, or Google are used for informational purposes only.

Leanne Martin
Whitman Instructor

This course will familiarize students with the assumptions underlying various statistical techniques and assist in identifying their appropriateness in a variety of situations. The student should be able to perform statistical analysis and interpret results in a meaningful way. Students are expected to relate results of such analyses to become an information-based decision maker.

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📥💻 *Download Practice File 👉
https://docs.google.com/spreadsheets/d/17hlOauxQEIEBQS_TO_xY6D4xzo-oDtMw/edit?usp=drivesdk&ouid=111072957804449440476&rtpof=true&sd=true

Kya aap Excel mein Data Analysis sikhna chahte hain? 📊💻 Toh aap bilkul sahi jagah aaye hain! 🎉🔍 Mere naye YouTube video mein, main aapko free mein Excel mein Data Analysis karna sikhaunga! 💡📈 Taiyaar ho jaiye apne data ko explore karne ke liye aur Excel ke magical world mein kho jaiye! 💫💼 Dekhiye aur sikhiye abhi!"

✅✅ "Practice karne ke liye, maine ek special file taiyar ki hai, jo aapke Excel journey ko aur bhi interesting banayegi! 🔖📂 Is file ko download karne ke liye, niche diye gaye link pe click karein: [Download Practice File](link_yaha_pe) 📥💻 Ab Excel ke duniya mein kadam rakhiye aur apne skills ko polish kijiye! 💪🚀"

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▶️ Excel Interview Questions Test 2024 for Jobs -
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1. 🚀 *Unleash the Power of Excel: Mastering Advance Formulas!* 📊💡
https://youtu.be/O48TAut52ag

2. 🧹 *Data Cleaning Mastery: Excel Tips for Spotless Spreadsheets!* 🔄🧼
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3. ⚡ *Excel Power Query: Transform Your Data Like a Pro!* 🔍🔄
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4. 🕵️‍♂️ *XLOOKUP Demystified: Dive Deeper into Excel Magic!* 📈✨
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🤝 **Join the Masti Mein:**
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Copyright Disclaimer:-

Some contents are use for educational purposes under fair use. Copyright Disclaimer under section 107 of the copyright act 1976, allowance is made for "fair use" for porpose such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non profit educational or personal use tips the balance if favour of fair use. All credit for copyright material used in video goes to respected owner.

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In this Business Analytics and Business Intelligence full course video, we’ll look at what is Business Intelligence, who is a Business Intelligence expert, and various BI tools used. We will look at each tool in detail.

Dataset Links:
https://drive.google.com/drive..../folders/1Lhwkz7UAF6
https://drive.google.com/drive..../folders/18BFipLUm5p

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Business Analytics tutorial videos: https://bit.ly/3hQFfDP

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Who Is A Business Analyst?
A business analyst understands the business problems and identifies the solutions that will maximize the organization's value to its stakeholders. A business analyst is an individual who works closely with the technology team to improve the quality of the services being delivered. They ensure the customer needs are correctly interpreted and translated into application. They possess programming, SQL, and business intelligence skills to deliver data-driven solutions.

➡️ About Post Graduate Program In Business Analysis
This Post Graduate Program in Business Analysis is for professionals looking to pursue a Business Analysis career, understand business analysis techniques, get hands-on experience, and for experienced analysts looking to learn the latest tools and frameworks used by Agile teams.

✅ Key Features
- Certificate from Simplilearn in collaboration with Purdue University
- Become eligible to be part of the Purdue University Alumni Association
- Master Classes delivered by Purdue faculty
- Earn 35 PDs/CDUs post completion of the CBAP® module
- Harvard Business Publishing case studies of Pearson, CarMax, EvCard, etc.
- Capstone from 3 domains and 14+ projects
- Simplilearn Career Service helps you get noticed by top hiring companies
- Get mentored and network with Business Analyst from Amazon, Microsoft, and Google

✅ Skills Covered
- Business Analysis
- Elicitation and Collaboration
- BRD FRD and SRS Document Creation
- Requirements Analysis
- Planning and Monitoring
- Requirements Life Cycle Management
- Strategy Analysis
- Wireframing
- Solution Evaluation
- Dashboarding
- Data Visualization
- Agile scrum methodology
- Scrum Artifacts
- Statistical Analysis using Excel
- SQL Database
- Python
- Data analysis
- Digital Transformation

👉 Learn More At: https://www.simplilearn.com/pgp-business-analysis-certification-training-course?utm_campaign=BABIFJan21-LUqyuskHUHk&utm_medium=Description&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

In this video you will learn how to do Data Transform in Power BI in easy-to-understand approach.

Table of contents:
1. Intro 00:10
2. What we have learned so far 00:20
3. What we will learn 00:50
4. How to start Transformation the Data 01:13
5. Header Formatting 01:56
6. Delete or Rename the column and table 02:14
7. Data Profiling (column quality/distribution/profile) 02:46
8. Rename the data table 06:02
9. How to check total rows imported 06:08
10. Find and Replace values in the column 06:20
11. Format the value in the column 07:30
12. Split the column 08:30
13. Column data type change 09:49
14. Close and Apply to save transformation of data 10:20
15. Check data accuracy of loaded data 10:57
16. What we will learn next 11:11
17. Thank you note 11:46

Data Analysis Full Course Part-4 | Microsoft Power BI Tutorial for Beginners | How to transform data in Power BI Desktop | Learn Data Profiling



Subscribe to my channel and take advantage of the upcoming videos in this data analysis series: https://www.youtube.com/user/s....andipbhuva?sub_confi

Fundamental video for Data Analysis:
Data Analysis Part1 (Fundamentals of Data Analysis and Data Analyst and Tools used in Data Analysis): https://youtu.be/mlqf4Weq1yA

Data Analysis Part2 (Excel Tutorial for preparing Interactive Excel Sales Dashboard) : https://youtu.be/L40wUP9I5bw

Data Analysis Full Course Part-3 | Microsoft Power BI Tutorial for Beginners | What Is Power BI? | How to download and Install Power BI? | 2021: https://youtu.be/i_cFJv9owiY

Please check out my other career development videos like resume writing video and most asked interview questions and answers video:

How to write an Impressive Resume (English + Hindi)
https://youtu.be/YSM3vFKrrA8

Top 10 Most Asked Interview Questions and Answers | Job Interview Tips | 2021
https://youtu.be/0YPcjxqEHG8

---------------------------------------
#PowerBI
#MicrosoftPowerBI
#PowerBITutorial
-----------------------------------------
#DataProfilinginPowerBI
#HowtoProfileDatainPowerBI
#ColumnProfilinginPowerBI
#WhyDataProfilingisusefulinPowerBI
#PowerQueryDataProfiling
#PowerBIDataCleaning
#DataProfilinginPowerQuery
#ColumnQualityColumnDistributionandColumnProfileinPowerBI

#DataTransformInPowerBIDesktop
#MicrosoftBI
#DataAnalysisInPowerBI
#DataAnalytics
#DataAnalysis
#AnalysisOfData
#DataAnalysisProcess
#DataAnalysisFullCourse
#DataAnalysisForBeginners
#DataVisualization
#WhatIsDataAnalysis
#SandipBhuva
#powerbitraining
#powerbicourse
#powerbionlinetraining
#powerbionlinecourse

DSA with Java Course Enrollment link: https://www.jennyslectures.com..../courses/Mastering-D

🎉 Exciting News: Jenny’s New Coding Platform & Course Launch! 🎉

Hello everyone! 🌟 I’ve missed you all and have some thrilling updates to share. After a brief hiatus, I’m back with not one but TWO pieces of fantastic news that I can’t wait to reveal!

🚀 Good News #1 🚀 I’m beyond excited to announce the launch of jennyslectures.com – our very own platform dedicated to coding excellence! Here, you'll find meticulously structured courses with personalized doubt resolution support, designed to elevate your coding skills from beginner to expert. I’ll be guiding you through every step, making sure you're well-prepared for placements, interviews, and internships.

📚 Good News #2 📚 We’re kicking things off with our first course: ‘Mastering Data Structures and Algorithms with JAVA - DSA - Extreme Beginner to Advanced (200+ Hours)’! Starting on 19th September 2024 at 8:00 PM, this comprehensive LIVE + Recorded course will cover:

Full Java coverage with JDK21
In-depth Data Structures & Algorithms
Detailed notes, PDFs, and HD recorded classes
AI tool usage, real-world case studies, projects, and 200+ placement questions
Quizzes, assignments, and a course completion certificate
A 100% refund in case you change your mind(within first week of enrollment only)

🎓 Special Early Bird Discount 🎓
Act fast! For the first 500 students, the course is available at a special price of ₹9,000 (down from ₹14,999) with an additional early bird discount! Valid for 2 years, that’s just ₹375 per month!

👉 Don’t wait – Book your spot now! Click the link in the description and pinned comment to start your coding journey. I’m so excited to see you in the course. Let’s level up your coding skills together!

DSA with Java Course Enrollment link: https://www.jennyslectures.com..../courses/Mastering-D

See you on 19th September! 🌟

#Coding #Java #DataStructures #Algorithms #OnlineCourse #Jenny’sLectures #EarlyBirdDiscount #LearnToCode

*********************************************

In English. Portion of course that covers data analysis techniques in biodiversity science. Taught 29 July - 2 August 2013, in Cape Town, South Africa. Instructors included Rafael Loyola, Thiago Rangel, Adolfo Navarro, and Town Peterson.

Learn how to use Python and Pandas for data analysis. This course will be especially helpful if you have experience with Excel, but that is not required. Learn how to create pivot tables, work with data, and make visualizations using Python, Pandas, and Jupyter Notebook.

💻 Source Code & Datasets: https://github.com/ifrankandrade/pyth...
🔗 Datasets: https://drive.google.com/drive/folder...

✏️ Course developed by Frank Andrade.
🔗 YouTube Channel:

/ frankandrade5
🔗 PDF Python Cheat Sheet for this Course: https://artificialcorner.com/p/redeem...
🔗 My Complete Python Courses for Data Analysis & Data Science: https://www.udemy.com/user/frank-andr...

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:01:48) Install Python and Jupyter Notebook with Anaconda
⌨️ (0:03:53) Jupyter Notebook Interface
⌨️ (0:13:56) Cell Types and Cell Mode
⌨️ (0:21:34) Jupyter Notebook Shortcuts
⌨️ (0:26:39) Module 1 - Hello World
⌨️ (0:30:30) Data Type
⌨️ (0:39:10) Variables
⌨️ (0:46:53) Lists
⌨️ (1:11:14) Dictionaries
⌨️ (1:21:50) IF Statement
⌨️ (1:28:04) FOR Loop
⌨️ (1:33:49) Functions
⌨️ (1:40:59) Modules
⌨️ (1:44:41) Module 2 -Introduction to Pandas
⌨️ (1:51:08) How to create a dataframe
⌨️ (2:07:34) How to show a dataframe
⌨️ (2:14:24) Basic Attributes, Functions and Methods
⌨️ (2:26:17) Selecting One Column from a Dataframe
⌨️ (2:32:13) Selecting Two or More Columns from a Dataframe
⌨️ (2:37:50) Add New Column to a Dataframe (Simple Assignment)
⌨️ (2:47:51) Operations in dataframes
⌨️ (2:56:04) The value_counts() method
⌨️ (3:00:16) Sort a DataFrame with the sort_values() method
⌨️ (3:09:56) Module 3: Introduction to Pivot Tables in Pandas
⌨️ (3:14:42) The pivot() method
⌨️ (3:20:49) The pivot_table() method
⌨️ (3:29:00) Data Visualization with Pandas (New Dataset + Pivot Table)
⌨️ (3:38:38) Lineplot
⌨️ (3:43:05) Barplot
⌨️ (3:50:52) Piechart
⌨️ (3:54:36) Save Plot and Export Pivot Table

🎉 Thanks to our Champion and Sponsor supporters:
👾 Raymond Odero
👾 Agustín Kussrow
👾 aldo ferretti
👾 Otis Morgan
👾 DeezMaster

Python data analysis / data science tutorial. Let’s go!
Learn Data Analysis with Python in this comprehensive tutorial for beginners, with exercises included! Data Analysis has been around for a long time, but up until a few years ago, it was practiced using closed, expensive and limited tools like Excel or Tableau. Python, SQL and other open libraries have changed Data Analysis forever.
How can we get started with data analysis or data science - so for example read and change data and also create our first quick chart - in Python? Besides Python, all we need is Pandas and Matplotlib. Doesn't sound familiar to you? Let's clear things up and get started in this video!

In this tutorial you'll learn the whole process of Data Analysis: reading data from multiple sources (CSVs, SQL, Excel, etc), processing them using NumPy and Pandas, visualize them using Matplotlib and Seaborn and clean and process it to create reports.
Additionally, we've included a thorough Jupyter Notebook tutorial, and a quick Python reference to refresh your programming skills.

The session covers:
0:00 Introduction
4:04 Jupyter Notebooks
18:00 Pandas
20:14 Pandas Series
46:45 Pandas DataFrames
1:05:03 Reading CSV files
1:30:56 Plotting data

It was taught by Dr Matt Williams

#python #pandas #programming #jupyter #rse #acrc #uob

"Discover the essence of data analytics in Excel with these 6 vital topics. Learn data import, formulas, and functions for manipulation. Explore data visualization and PivotTables for insights. Master descriptive statistics and hypothesis testing for confident data-driven decisions. Elevate your analytics skills with this concise guide."


#dataanalysiscourseplaylist #youtubevideo #virelvideo #shorts #shortvideo #job #jobs #jobsearch #dataanalyticscourseplaylist #dataanalyticscourseplaylistinhindi #dataanalyticscourseplaylistfreecodecamp #dataanalyticscoursetagalog #dataanalyticscoursewscubetech #dataanalyticscourseinhindi #k

Data Analysis in Stata; Full Course || Univariate and Bi-variate Analysis

Data Source:
https://github.com/ahshanulhaq....ue/MyData/raw/main/M


Univariate analysis
Bi-variate analysis for categorical variables
Histogram, box plot, Q-Q plot, n-p plot
Bi-variate analysis for one quantitative and one binary variable
Bi-variate analysis for two quantitative/continuous variables
'tabstat' command for summarizing the Quantitative variables
Table of means, std.dev, and frequency
ANOVA, One-Way ANOVA, ICC, and Bonferroni Comparison
Classical non- parametric test of hypothesis with dunntest




Are you passionate about data science, bio-statistics, and epidemiology? Dive into our channel, where we break down complex concepts and empower you with the knowledge to excel in regression analysis and beyond. Learn the latest techniques, explore real-world applications, and stay ahead in your field. Whether you're a beginner or an expert, our engaging content will elevate your understanding and skills. Subscribe now and transform your career with the power of data!

Free Statistics Tutorial: https://research-by-design.ck.....page/free-statistics

How to Use SPSS
Are you ready to learn how to use SPSS for your introductory statistics class? You have come to the right place. This is the first in a series of eight videos that will introduce you to using SPSS for introductory statistics. This series is designed for people with little or no experience with SPSS. You will learn about the SPSS work space, how to navigate between Data View and Variable View, how to create variables, and how to modify properties of variables. From there, we will move on to simple statistics and common statistical tests. This is SPSS for Beginners.

Note about the camera: the most common comment I get is about the camera work, particularly in this first video. We wanted to try something multi-cam and thought it might be cool to do black and white plus color plus movement. If the style is too much for you, I understand. I made the ultimate creative choices about the footage, so that is all on me. In the subsequent videos, there is much less movement. The SPSS content is still solid and I hope that it benefits you.

For more training about how to use SPSS, please check out these videos.
How to Get IBM SPSS Statistics Software: https://youtu.be/x8y2nqPZjhk
An Introduction to the SPSS Workspace: https://youtu.be/8_4Z3iKzE8M
How to Create Variables in SPSS: https://youtu.be/27pOf3_Kq3s
Importing Excel Data into SPSS: https://youtu.be/itpAr1fpzcw
Exporting SPSS Output to Microsoft Word: https://youtu.be/-N7BsdkhDL4

This video uses a dataset we create in the video series and SPSS version 24

Link to a Google Drive folder with all of the files that I use in the videos including spreadsheets, and the Bear Handout. As I add new files, they will appear here, as well.
https://drive.google.com/drive..../folders/1n9aCsq5j4d
To download, hover your cursor over the file icon and a blue download icon will appear. You do not need to request access to a file.

Permissions: Statistics instructors, you are granted permission to link to this video and all videos on this channel for teaching introductory statistics. If you use them, I would love to hear about where they are being used so I can document for professional service. – Dr. Daniel

In This Video About Exploratory Data Analysis covers essential techniques in data science, focusing on understanding data structures and effective transformations.

Topics Data Analytics Tamil Full Course include methodologies, visualization, user analytics, data participation, annotations, and analytics procedures. It finds applications in diverse data environments using various tools and software."

Data Analytics Data Set -https://workdrive.zohopublic.i....n/external/a8333659d

This Video Contains
0:00 - Intro
0:31 - What Is EDA In Data Analysis ?
3:33 - Explain Statistical And Visualization In Data Analytics ?
6:16 - Role of EDA ?
7:10 - Case Study Of EDA ?
7:56 - Exploring Correlation In Data Analytics ?
8:24 - Heatmaps And Scatter Plot ?
8 : 42 - Harness Seabones For Visualization
32:21 - Explain Outlayers ?


✅ For course inquiries contact us at
📞 044 4560 5237
📱 739 739 6665 (WhatsApp)

👉 Click here to join the courses : https://btreesystems.com/data-....analytics-course-in-

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Learn about relational and non-relational database management systems in this course.

This course was created by Professor Immanuel Trummer, PhD. He is an assistant professor for computer science at Cornell University.
🐦 Follow Professor Trummer on Twitter: https://twitter.com/ImmanuelTrummer

🎥 Watch part 2 of this course here (8 more hours): https://youtu.be/lxEdaElkQhQ

You will learn how to query database systems via languages such as SQL (the structured query language). Then, you will see how database systems work internally, how they store and index data, how they process and optimize queries, and how they process transactions while providing guarantees such as isolation, atomicity, and durability (ACID guarantees).

The course addresses questions of database design and discusses novel approaches to data management via NoSQL or NewSQL systems. Finally, the course will discuss about graph, stream, and spatial data, and about systems that are specialized for those data types. The lectures are from the Fall 2020 online lecture at Cornell by Prof. Trummer (www.itrummer.org).

🔗 Slides: http://cdn.freecodecamp.org/yo....utube/database-cours
To download the slides, you may have to right-click the link and select "Save link as...". After clicking 'Save' you may have to look at the bottom of your browser window, click the up arrow, and then select 'Keep'.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) The Structured Query Language (SQL)
⌨️ (3:04:52) Storing and Indexing Data
⌨️ (5:52:44) Relational Data Processing
⌨️ (10:40:23) Transaction Processing
⌨️ (https://youtu.be/lxEdaElkQhQ) Database Design
⌨️ (https://youtu.be/lxEdaElkQhQ) Beyond Relational Data

⭐️ Additional Reading ⭐️
About the first two thirds of the course are based on the textbook "Database Management Systems" by Raghu Ramakrishnan and Johannes Gehrke. The last third of the course discusses recently proposed systems, more details about them can be found in the corresponding research papers.

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

If you spend a lot of time extracting, transforming, or analyzing data from databases, - or you're aiming for one of the many highly paid career paths that rely heavily on this skill - then this course is for you.

Learning to query databases with SQL is a substantial part of highly paid careers such as Data Analyst and Business Intelligence Analyst, but also provides a strong foundation for even more exotic roles like that of a Data Scientist. Experienced Data Scientists will tell you that the majority of their time isn't spent tuning machine learning algorithms, but rather preparing and cleaning data for use by those algorithms - something SQL does exceptionally well.

In this course, I have tried to avoid simply regurgitating an encyclopedia of facts about SQL, an approach that is all too common in introductory books and courses on programming. Instead, I carefully curated certain concepts and techniques that I have found to provide the most "bang for your buck" over my decade of experience as a data professional.

This enabled me to condense a complete course on SQL into just 36 instructional videos, averaging less than 10 minutes in length. So if you can commit to a video a day, in just over one month you’ll have added an extremely valuable and lucrative skill to your arsenal (and just as importantly, your resume!).

And to make sure all that knowledge sticks, I’ve included exercises...LOTS of exercises. Unlike most courses, which only feature sporadic opportunities to practice what you’ve learned, this course has practice problems after almost every video - so you can reinforce concepts right away.

Take it from someone who has built their career almost entirely on self-taught technical skills: it’s worth the effort. Several recent surveys have shown that SQL is actually the MOST in-demand tech skill sought after by recruiters!

In short, learning SQL can change your life, if you put in the work Let me be your guide to this next step in your career - I think you’ll find the journey a lot less daunting, and maybe even a little more fun, than you would have ever expected.

What you’ll learn
Use SQL to apply complex criteria and transformations to database data
Master SQL functions for sophisticated data manipulation
Leverage an understanding of relational database design to link together data stored across multiple tables
Use aggregate queries to produce summarized views and analysis
Be comfortable putting SQL and SQL Server on your resume
Gain experience with the kind of SQL coding problems you are likely to encounter in an interview
Are there any course requirements or prerequisites?
Basic computer literacy
An installation of Windows 10 or later
Who this course is for:
Aspiring Data Analysts or Business Intelligence Analysts looking to break into these fields by learning SQL
Data Scientists trying to improve their data cleaning and transformation skills by learning SQL
Non-technical business professionals such as business analysts and project managers trying to gain a better understanding of the technical domains they interact with

In this series, we'll go over data analysis with Python. We'll learn the basics of statistics used in data analysis, learn how to implement it in Python and also go over data visualization using Python. In the course, you'll also learn how to use google colab. This course is designed for absolute beginners to data analysis in Python.

Link to colab notebook: https://colab.research.google.....com/drive/1sT91MdLoi

#python #datascience #datanalytics #statistics

- Data Science
- Statistics
- Data Analysis
- Pandas
- Matplotlib
- Seaborn

Deep Learning playlist: https://www.youtube.com/watch?v=Gq-zP3uRqM4&list=PLU7aW4OZeUzwLSAwf26ZD7XM0b9mSvSQ5

Machine Learing playlist: https://www.youtube.com/watch?v=kz2pgmZYMxQ&list=PLU7aW4OZeUzzxSn5QU2ck_6cE2GK23Xo-

Pandas: https://youtube.com/playlist?list=PLU...
seaborn: https://youtube.com/playlist?list=PLU...

Follow me on social media:
Discord community server: https://discord.gg/VJEVXKu2
Instagram: https://www.instagram.com/codehouse2​​​
twitter: https://twitter.com/Prince_Krampah
Channel main page: https://www.youtube.com/c/CodeWithPri...

Please like, share and subscribe to this channel for more of such videos.

In this series, we'll go over data analysis with Python. We'll learn the basics of statistics used in data analysis, learn how to implement it in Python and also go over data visualization using Python. In the course, you'll also learn how to use google colab. This course is designed for absolute beginners to data analysis in Python.

Link to colab notebook: https://colab.research.google.....com/drive/1sT91MdLoi

#python #datascience #datanalytics #statistics

- Data Science
- Statistics
- Data Analysis
- Pandas
- Matplotlib
- Seaborn

Deep Learning playlist: https://www.youtube.com/watch?v=Gq-zP3uRqM4&list=PLU7aW4OZeUzwLSAwf26ZD7XM0b9mSvSQ5

Machine Learing playlist: https://www.youtube.com/watch?v=kz2pgmZYMxQ&list=PLU7aW4OZeUzzxSn5QU2ck_6cE2GK23Xo-

Pandas: https://youtube.com/playlist?list=PLU...
seaborn: https://youtube.com/playlist?list=PLU...

Follow me on social media:
Discord community server: https://discord.gg/VJEVXKu2
Instagram: https://www.instagram.com/codehouse2​​​
twitter: https://twitter.com/Prince_Krampah
Channel main page: https://www.youtube.com/c/CodeWithPri...

Please like, share and subscribe to this channel for more of such videos.

This FULL course in SQL, In this video will cover how to write SQL using MS SQL Server and SQL Server Management Studio. We go through Creating a Database, Creating Tables, Inserting, Updating, Deleting, Selecting, Grouping, Summing, Indexing, Joining, and every basic you need to get starting writing SQL.



#SQL #SQLServer #SQLTutorials

▬▬▬▬▬▬▬▬ SQL SERVER - Tutorials - FULL COURSE ▬▬▬▬▬▬▬▬
1) 00:00 - Introduction About the Complete Free SQL Course
2) 02:46 - Why we need Database
3) 16:31 - What is DBMS
3.1 What is MS SQL Server
4) 30:42 - Installation Link
5) 34:14 - SQL Server Demo
5.1 Creating Database
5.2 Exploring SSMS
5.3 SQL Server Service
6) 51:07 - System database
7) 54:37 - SQL (Structured Query Language)
7.1 DDL ( Create, Alter, Drop )
7.2 DML ( Insert, Update, Delete)
7.3 DQL (Select)
7.4 Datatype in SQL
8) 01:31:00 - Constraints
8.1 Not Null, Unique
8.2 Check, Default,
9) 01:58:14 - Primary Key, Foreign Key
10) 02:34:00 - SQL Queries
10.1 Select, Where, Order by
10.2 Distinct
11) 02:59:23 - String and Arithmetic Functions
11.1 Logical Conditions
11.2 Like (Pattern search)
12) 03:29:05 - SQL Operators and Aggregate Function
13) 03:58:45 - SQL Join
13.1 Left / Right/ Inner / Full
14) 05:24:30 - Set Operations
14.1 Union / Intersect / Except
15) 05:33:16 - DBA | Security | User Access
16) 06:10:47 - PL SQL and Views
16.1 Stored Procedures |Functions
16.2 Views | CTE | Temp tables
17) 07:24:47 - Triggers / Cursors
18) 07:57:41 - Indexing
18.1 Clustered / Non clustered


How to install SQL Server DBMS

https://youtu.be/mK8a07Evkcs


Video to install Sample Databases
https://youtu.be/vfh_Kdp8M7o

✉ Business Queries / Analytics Consulting ✉ : analyticswithnags@gmail.com

💬 For Learners Post queries and Interact 💬
Telegram Channel - http://t.me/analyticswithnags
LinkedIn Page - https://www.linkedin.com/company/analyticswithnags



Complete Playlists

Power BI Tutorials - Complete Playlist 📚📖 https://www.youtube.com/watch?v=T_bRcvmOMSM&list=PLjNd3r1KLjQt0xN_y8F6BSIOVNvdQmq4d
Power BI Desktop Tips and Tricks 📚📖 https://www.youtube.com/watch?v=PyFQh8MmDWo&list=PLjNd3r1KLjQv4ds9tM-HbWDrrugMADmgp
Power BI DAX - Complete Playlist 📚📖 https://www.youtube.com/watch?v=sCAQtqHINAQ&list=PLjNd3r1KLjQuVWrPuygE8QwEmCL6rrUrx
Power BI Services Playlist 📚📖 https://www.youtube.com/watch?v=F1BtmioYzGw&list=PLjNd3r1KLjQvi8p21uS522Xi3qEiFQH2r
Power BI Project Dashboards - Power BI Realtime Projects - Playlist 📚📖 https://www.youtube.com/watch?v=wS2Hw9CPJeY&list=PLjNd3r1KLjQty8rRYWwTUhS_gnzk0f2VK

Data Warehouse Tutorials 📚📖 https://www.youtube.com/watch?v=t52xNJTBicc&list=PLjNd3r1KLjQu4f2V9aa9C7NHqn-lTqppN
SQL Full Course | SQL Tutorial For Beginners 📚📖 https://www.youtube.com/watch?v=5FrBJ4PXj2s&list=PLjNd3r1KLjQtFEklcPDhidqC_2lmpjk5H
SSAS Tutorials - SQL Server Analysis Services 📚📖 https://www.youtube.com/watch?v=0YY7_k-Asmk&list=PLjNd3r1KLjQvvRu_EZ-TSydhIqNr3ZG94
SSIS Tutorials - SQL Server Integration Services 📚📖 https://www.youtube.com/watch?v=YyL88pQTFmk&list=PLjNd3r1KLjQsh6EP222gEz_XmW_DcvhXi

Power BI Interview Topics 📚📖 https://www.youtube.com/watch?v=Om_DqqvZWOM&list=PLjNd3r1KLjQtX-KTIk1_CjG5_3b5dxnGI
MSBI (SSIS,SSAS,SSRS) Interview Topics 📚📖 https://www.youtube.com/watch?v=bZRuQ6XJFYk&list=PLjNd3r1KLjQvj26IO4Wxz40YA198zVxP-

Excel for Data Analysis 📚📖 https://www.youtube.com/watch?v=dMBM9KamF4k&list=PLjNd3r1KLjQtfYL5UUfd92ME0CbL9uPKF
Power BI + R 📚📖 https://www.youtube.com/watch?v=dMBM9KamF4k&list=PLjNd3r1KLjQvPFEU7rlhwnw9fvBP40-2F
Azure for Analytics - Complete Tutorials 📚📖 https://www.youtube.com/watch?v=dMBM9KamF4k&list=PLjNd3r1KLjQsQqRO7qInxEeX3a4DGRj1k

Catch with Nags 📚📖 https://www.youtube.com/watch?v=_qZZCD26quw&list=PLjNd3r1KLjQstljLO-5SLmCM2AThWenqw
Nags Checklist 📚📖 https://www.youtube.com/watch?v=auQbMvQSx0w&list=PLjNd3r1KLjQv1zMF08IjuCIsG1Inuv2cF
Visuals with Nags 📚📖 https://www.youtube.com/watch?v=LfEz7jUAbEc&list=PLjNd3r1KLjQtDEEeTGmcouBc0WJQftvGv

Download Now: https://wbcomdesigns.com/downl....oads/reign-tutor-lms
Create and Manage your Learning Management System on WordPress using our advanced and feature-packed Reign Tutor LMS Add-on. It is a complete and full-fledged WordPress plugin for the Reign theme buyers. Now you can create manage and sell courses online, engage your instructors, Monetize your students easily.
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"🔥Data Analyst Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=DozWj3PBLFc&utm_medium=DescriptionFirstFold&utm_source=Youtube
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Data Analyst Full Course 2023 by simplilearn is dedicated to helping the aspiring data analysts to Learn Data Analysis In 10 Hours. This Data Analyst Course by Simplilearn covers the following topics mentioned below.

00:00:00 Data Analytics Career, Jobs, and Salary
00:25:22 Data Analyst Roadmap 2023
00:33:22 Best Data Analyst Certification in 2023
00:42:33 Data Scientist vs Data Analyst vs Data Engineer
00:47:44 Data Analytics For Beginners
01:30:17 OLAP Vs OLTP
01:39:15 What is ETL Pipeline?
01:46:44 Top 10 Data Analysis Tools
02:07:12 Microsoft Excel Tutorial For Beginners-1
03:59:39 Time Series Analysis
04:51:23 Data Analytics With Python
06:15:27 SQL Advanced Tutorial
07:14:16 Power BI Tutorial For Beginners 2023
08:45:10 Tableau Tutorial for Beginners in 20 Minutes
09:05:01 Netflix Data Analysis Project Using Tableau
09:22:25 Data Analyst Interview Questions And Answers

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Analytics Training Videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

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➡️ Data Analytics Bootcamp
The Caltech Data Analytics Bootcamp is ideal for working professionals from all backgrounds. Develop core skills such as mastering excel, creating data-driven presentations, data manipulation with SQL, analyzing data with Python, and data visualization with Tableau. Learn data analysis with tools such as AWS.

✅ Key features
- Simplilearn Career Service helps you get noticed by top hiring companies
- Data Analytics Bootcamp Certificate from Caltech CTME
- Caltech CTME Circle Membership
- Online Convocation by Caltech CTME Program Director
- Access to integrated Data Analytics Labs

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analytics using Python
- Data Visualization with Tableau
- Linear and Logistic Regression
- Data Manipulation
- Data Analysis in AWS

✅ Enroll Course Now: https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=17August2023DataAnalystFullCourse2023&utm_medium=Description&utm_source=youtube

🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688

If you spend a lot of time extracting, transforming, or analyzing data from databases, - or you're aiming for one of the many highly paid career paths that rely heavily on this skill - then this course is for you.

Learning to query databases with SQL is a substantial part of highly paid careers such as Data Analyst and Business Intelligence Analyst, but also provides a strong foundation for even more exotic roles like that of a Data Scientist. Experienced Data Scientists will tell you that the majority of their time isn't spent tuning machine learning algorithms, but rather preparing and cleaning data for use by those algorithms - something SQL does exceptionally well.

In this course, I have tried to avoid simply regurgitating an encyclopedia of facts about SQL, an approach that is all too common in introductory books and courses on programming. Instead, I carefully curated certain concepts and techniques that I have found to provide the most "bang for your buck" over my decade of experience as a data professional.

This enabled me to condense a complete course on SQL into just 36 instructional videos, averaging less than 10 minutes in length. So if you can commit to a video a day, in just over one month you’ll have added an extremely valuable and lucrative skill to your arsenal (and just as importantly, your resume!).

And to make sure all that knowledge sticks, I’ve included exercises...LOTS of exercises. Unlike most courses, which only feature sporadic opportunities to practice what you’ve learned, this course has practice problems after almost every video - so you can reinforce concepts right away.

Take it from someone who has built their career almost entirely on self-taught technical skills: it’s worth the effort. Several recent surveys have shown that SQL is actually the MOST in-demand tech skill sought after by recruiters!

In short, learning SQL can change your life, if you put in the work Let me be your guide to this next step in your career - I think you’ll find the journey a lot less daunting, and maybe even a little more fun, than you would have ever expected.

What you’ll learn
Use SQL to apply complex criteria and transformations to database data
Master SQL functions for sophisticated data manipulation
Leverage an understanding of relational database design to link together data stored across multiple tables
Use aggregate queries to produce summarized views and analysis
Be comfortable putting SQL and SQL Server on your resume
Gain experience with the kind of SQL coding problems you are likely to encounter in an interview
Are there any course requirements or prerequisites?
Basic computer literacy
An installation of Windows 10 or later
Who this course is for:
Aspiring Data Analysts or Business Intelligence Analysts looking to break into these fields by learning SQL
Data Scientists trying to improve their data cleaning and transformation skills by learning SQL
Non-technical business professionals such as business analysts and project managers trying to gain a better understanding of the technical domains they interact with

In this series, we'll go over data analysis with Python. We'll learn the basics of statistics used in data analysis, learn how to implement it in Python and also go over data visualization using Python. In the course, you'll also learn how to use google colab. This course is designed for absolute beginners to data analysis in Python.

Link to colab notebook: https://colab.research.google.....com/drive/1sT91MdLoi

#python #datascience #datanalytics #statistics

- Data Science
- Statistics
- Data Analysis
- Pandas
- Matplotlib
- Seaborn

Deep Learning playlist: https://www.youtube.com/watch?v=Gq-zP3uRqM4&list=PLU7aW4OZeUzwLSAwf26ZD7XM0b9mSvSQ5

Machine Learing playlist: https://www.youtube.com/watch?v=kz2pgmZYMxQ&list=PLU7aW4OZeUzzxSn5QU2ck_6cE2GK23Xo-

Pandas: https://youtube.com/playlist?list=PLU...
seaborn: https://youtube.com/playlist?list=PLU...

Follow me on social media:
Discord community server: https://discord.gg/VJEVXKu2
Instagram: https://www.instagram.com/codehouse2​​​
twitter: https://twitter.com/Prince_Krampah
Channel main page: https://www.youtube.com/c/CodeWithPri...

Please like, share and subscribe to this channel for more of such videos.

🔥 Learn Excel in just 2 hours: https://kevinstratvert.thinkific.com

In this step-by-step tutorial, learn how you can use Microsoft Power Query to get and clean up data in both Microsoft Excel and Microsoft Power BI. Power Query is the easiest way to connect, extract, transform and load data from a wide range of sources.

👋 Additional resources:
- Sample files: https://1drv.ms/u/s!AmxrofZZlZ....-whKZQTEiA4iLu-WPiaQ
- Download Power Query for Excel 2010 or 2013: https://www.microsoft.com/en-a....u/download/details.a

⌚ Timestamps
00:00 Introduction
00:59 Sample data
2:14 How to get Power Query
2:31 Get data
3:35 Combine data
5:26 Main Power Query interface
7:00 Transform data
11:21 Applied steps
12:06 Close & Load
12:33 Data imported into Excel
13:34 Insert pivot table & chart
14:46 Importing additional data
16:00 Wrap up

📃 Watch related playlists and videos
- Pivot Table tutorial: https://youtu.be/m0wI61ahfLc
- Excel: https://www.youtube.com/playli....st?list=PLlKpQrBME6x
- Power BI: https://www.youtube.com/playli....st?list=PLlKpQrBME6x

🚩 Connect with me on social:
- LinkedIn: https://www.linkedin.com/in/kevinstratvert/
- Twitter: https://twitter.com/kevstrat
- Facebook: https://www.facebook.com/Kevin....-Stratvert-101912218

🔔 Subscribe to my YouTube channel
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🎬 Want to watch again? Navigate back to my YouTube channel quickly
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🛍 Support me with your Amazon purchases: https://amzn.to/3kCP2yz

⚖ As full disclosure, I use affiliate links above. Purchasing through these links gives me a small commission to support videos on this channel -- the price to you is the same.

If you spend a lot of time extracting, transforming, or analyzing data from databases, - or you're aiming for one of the many highly paid career paths that rely heavily on this skill - then this course is for you.

Learning to query databases with SQL is a substantial part of highly paid careers such as Data Analyst and Business Intelligence Analyst, but also provides a strong foundation for even more exotic roles like that of a Data Scientist. Experienced Data Scientists will tell you that the majority of their time isn't spent tuning machine learning algorithms, but rather preparing and cleaning data for use by those algorithms - something SQL does exceptionally well.

In this course, I have tried to avoid simply regurgitating an encyclopedia of facts about SQL, an approach that is all too common in introductory books and courses on programming. Instead, I carefully curated certain concepts and techniques that I have found to provide the most "bang for your buck" over my decade of experience as a data professional.

This enabled me to condense a complete course on SQL into just 36 instructional videos, averaging less than 10 minutes in length. So if you can commit to a video a day, in just over one month you’ll have added an extremely valuable and lucrative skill to your arsenal (and just as importantly, your resume!).

And to make sure all that knowledge sticks, I’ve included exercises...LOTS of exercises. Unlike most courses, which only feature sporadic opportunities to practice what you’ve learned, this course has practice problems after almost every video - so you can reinforce concepts right away.

Take it from someone who has built their career almost entirely on self-taught technical skills: it’s worth the effort. Several recent surveys have shown that SQL is actually the MOST in-demand tech skill sought after by recruiters!

In short, learning SQL can change your life, if you put in the work Let me be your guide to this next step in your career - I think you’ll find the journey a lot less daunting, and maybe even a little more fun, than you would have ever expected.

What you’ll learn
Use SQL to apply complex criteria and transformations to database data
Master SQL functions for sophisticated data manipulation
Leverage an understanding of relational database design to link together data stored across multiple tables
Use aggregate queries to produce summarized views and analysis
Be comfortable putting SQL and SQL Server on your resume
Gain experience with the kind of SQL coding problems you are likely to encounter in an interview
Are there any course requirements or prerequisites?
Basic computer literacy
An installation of Windows 10 or later
Who this course is for:
Aspiring Data Analysts or Business Intelligence Analysts looking to break into these fields by learning SQL
Data Scientists trying to improve their data cleaning and transformation skills by learning SQL
Non-technical business professionals such as business analysts and project managers trying to gain a better understanding of the technical domains they interact with

In this series, we'll go over data analysis with Python. We'll learn the basics of statistics used in data analysis, learn how to implement it in Python and also go over data visualization using Python. In the course, you'll also learn how to use google colab. This course is designed for absolute beginners to data analysis in Python.

Link to colab notebook: https://colab.research.google.....com/drive/1sT91MdLoi

#python #datascience #datanalytics #statistics

- Data Science
- Statistics
- Data Analysis
- Pandas
- Matplotlib
- Seaborn

Deep Learning playlist: https://www.youtube.com/watch?v=Gq-zP3uRqM4&list=PLU7aW4OZeUzwLSAwf26ZD7XM0b9mSvSQ5

Machine Learing playlist: https://www.youtube.com/watch?v=kz2pgmZYMxQ&list=PLU7aW4OZeUzzxSn5QU2ck_6cE2GK23Xo-

Pandas: https://youtube.com/playlist?list=PLU...
seaborn: https://youtube.com/playlist?list=PLU...

Follow me on social media:
Discord community server: https://discord.gg/VJEVXKu2
Instagram: https://www.instagram.com/codehouse2​​​
twitter: https://twitter.com/Prince_Krampah
Channel main page: https://www.youtube.com/c/CodeWithPri...

Please like, share and subscribe to this channel for more of such videos.

📊 Statistics for Data Science | Full Data Science Course in Hindi 🇮🇳

नमस्ते दोस्तों! 🙏
इस वीडियो में हम Statistics for Data Science के बारे में विस्तार से समझेंगे। यह वीडियो Data Science Full Course का हिस्सा है, और इसे पूरी तरह से हिंदी में प्रस्तुत किया गया है। अगर आप Data Analyst या Data Scientist बनना चाहते हैं, तो यह कोर्स आपके लिए बिल्कुल सही है! 💻

इस कोर्स में हम सीखेंगे:

Data Analytics और Data Analysis के लिए ज़रूरी Statistics
Machine Learning के लिए Statistics की महत्वपूर्ण भूमिका
Data Science Tutorial for Beginners (हिंदी में)
और भी बहुत कुछ! 🎯
यह Statistics Course आपको Data Science की दुनिया में एक मज़बूत नींव देगा। चाहे आप एक beginner हों या पहले से कुछ सीख चुके हों, यह कोर्स हर किसी के लिए उपयोगी है। 🚀

🔔 अभी Subscribe करें हमारे चैनल Data Engine को और bell icon दबाएं ताकि आप हमारे आने वाले सभी वीडियो मिस न करें! 📽️

अगर आपको यह वीडियो पसंद आए:

इसे Like करें 👍
अपने सवाल Comments में पूछें 📝
और इसे अपने दोस्तों के साथ Share करें! 📢
📢 Follow Us for More:

Instagram: @DataEngine75

#datascience #statistics #statisticsinhindi #machinelearning #dataanalytics #dataanalysis #businessanalysis #forbeginners #datasciencehindi
@krishnaikhindi

Sign up for our Excel webinar, times added weekly: https://www.excelcampus.com/bl....ueprint-registration

PART 1: https://www.excelcampus.com/ch....arts/pivot-tables-da

WATCH PART 2: https://www.youtube.com/watch?v=g530cnFfk8Y
Download file used in the video: https://www.excelcampus.com/pi....vot-table-checklist-

In this video series you will learn how to create an interactive dashboard using Pivot Tables and Pivot Charts.

Works with Excel 2003, 2007, 2010, 2013 for Windows & Excel 2011 for Mac

Don't worry if you have never created a Pivot Table before, I cover the basics of formatting your source data and creating your first Pivot Table as well. You will also get to see an add-in I developed named PivotPal that makes it easier to work with some aspects of Pivot Tables.

Download the files to follow along at the following link.
http://www.excelcampus.com/piv....ot-table-checklist-y

I have another video that shows how to reformat the pivot chart in Excel 2010. In the video above I'm using Excel 2013 and the menus are different from Excel 2007/2010. Here is the link to that video. http://www.youtube.com/watch?v=Jt_QqG-vRRw

Get PivotPal: https://www.excelcampus.com/pivotpal

Free webinar on The 5 Secrets to Understanding Pivot Tables: https://www.excelcampus.com/pivot-webinar-yt

Subscribe to my free newsletter: https://www.excelcampus.com/newsletter

My Instagram : @nishitham_

More BA videos :
https://www.youtube.com/watch?v=cfaedagLUKs&t=761s
https://www.youtube.com/watch?v=zdk9ZE4bIJw&t=94s

Big O notation and time complexity, explained.

Check out Brilliant.org (https://brilliant.org/CSDojo/), a website for learning math and computer science concepts through solving problems. First 200 subscribers will get 20% off through the link above.
Special thanks to Brilliant for sponsoring this video.

This was #7 of my data structures & algorithms series. You can find the entire series in a playlist here: https://goo.gl/wy3CWF

Also, keep in touch on Facebook: https://www.facebook.com/entercsdojo

In this 10 minutes video tutorial, we discuss the tools in MS Excel for Data Analysis and Decision Making for career or a project or any other thing. How to analyze aspects to ensure Data-Driven Decisions.

If you want to learn MS Excel, PowerPoint, MS Access, MS Word, online data collection tools (like Google Forms, MS Forms, KOBO), How to conduct needs assessment studies, Data management, Windows features and other tips, click the relevant links of the playlist below:

MS Excel: https://www.youtube.com/watch?v=fpLkDe5w5aA&list=PLKD2IlZ7Ez5JDecyVwlbH7nj9jJA7w2U0

MS Excel lookups sessions: https://youtube.com/playlist?l....ist=PLKD2IlZ7Ez5Ijwe

MS Excel in Urdu/Hindi: https://youtube.com/playlist?l....ist=PLKD2IlZ7Ez5IGuV

MS PowerPoint:
https://www.youtube.com/playli....st?list=PLKD2IlZ7Ez5

MS Access:
https://www.youtube.com/playli....st?list=PLKD2IlZ7Ez5

MS Word:
https://www.youtube.com/playli....st?list=PLKD2IlZ7Ez5

Online data collection tools Google Form, KOBO, MS Forms:
https://www.youtube.com/playli....st?list=PLKD2IlZ7Ez5

Learning Tips:
https://www.youtube.com/playli....st?list=PLKD2IlZ7Ez5

Project Management:
https://www.youtube.com/playli....st?list=PLKD2IlZ7Ez5

Windows Features:
https://www.youtube.com/playli....st?list=PLKD2IlZ7Ez5

Other Software:
https://www.youtube.com/playli....st?list=PLKD2IlZ7Ez5

About the Channel: In this channel, you will find step-by-step and detailed explained tutorials, on different topics. Subscribe, watch and share your feedback
URL: https://www.youtube.com/user/ilusplm

You can learn about Basic of Excel, Basics of Data / Data entry and Databases in Excel (Validations), Basics of Data Analysis via Excel (Basics Formulas), Advance level of Data Analysis via Excel (Advanced Formulas, discover more about your data, spot trends & patterns in data), Analysis with Pivot Table (Slicers and Timelines), Conditional Formatting.

Similarly, MS Access, Project Management (Complete Cycle)- Conducting Research and Studies, Interpretation of data and Reporting, M&E, Result Based Management /Monitoring (RBM), Online data collection tools like KOBO, SurveyCTO and SPSS.
#msexcel #dataanalysis #decisionmaking #Learning