• Self Learning from @TableaU resources

let me start with amazing Escape room problem... available at link - link

Well, I was able to Solve all of them within 10-15mins. That what data Analytics are empowered with Visualization tools which help them to analyze and take factual decision to help business grow.

I have categorized TableaU related following tracks

1. Data Scientist
2. Analyst
3. Consumer

This repository is the accompanying repository for the Power BI live training. Here's a guide to the repository: 
- The starter and final workbook can be in the Workbooks folder.  
- The Resources folder contains the background image created by me to utilize in the live training. 
- You can find the data that populates the starter workbook in the Datasets folder. The full 27 CSV files from Josh Fjelstul can be found [here](https://github.com/jfjelstul/worldcup).

Let me start with Data Scientist

Data scientists are experts at deriving valuable insights from large and varied data sets. Learn the most important skills any data scientist needs, from reducing data cleansing time to leveraging visual design best practices to create visualizations viewers can easily understand. This learning path will teach you how to use the advanced features of Tableau including built-in statistical capabilities and data science integrations for R, Python, and MATLAB to turn the results of your data science projects into clear, actionable insights.

This tracks cover

1. Getting Started with Tableau Desktop
   • Basics of reading data
   • Introduction to Tableau desktop
2. Tableau Fundamentals
   • Connect to and Customise Data
   • Organize Data and Create Filters
   • Build Common Views
   • Map Geographic Data
   • Create Calculated Fields
   • Apply Table Calculations
   • Apply Analytics
   • Work with Multiple Data Sources
   • Create Dashboards and Stories
   • Share and Publish Content
3. Tableau Intermediate
   • Restructure Data and Create Filters
   • Do more with Data Source
   • Create Calculated Fields
   • Control Table Calculations
   • Create Level of Details(LOD) Expressions
   • Apply Analytics
   • Advanced Mapping: Customizing Tableau's Geooding
   • Advanced Mapping: using a Background Image
   • Build Advanced Dashboards
   • Publish and Manage Content
4. Getting Started with Tableau Prep Builder
5. Prep Builder
6. Tableau Advanced
7. Visual Analytics

This learning path encompasses the skills every analyst needs, from performing ad hoc analysis for data exploration, to producing well-designed interactive dashboards that present data accurately. Learn to work with complex data sources, use advanced calculations to customize data, leverage advanced features--such as parameters, sets, filters, and forecasting--to build a range of charts and to analyze various types of data, and share actionable data insights within your organization.

1. Getting Started with Tableau
2. Connect to And Transfrom Data
3. Create Views and Dashboards
4. Explore and Analyze Data
5. Publish and Manage Content

All areas of the business rely on consumers, from administrative assistants to C-suite executives. Learn the skills you need to read and interpret data in order to make better, more informed business decisions. This learning path provides you with core competencies, such as navigating Tableau’s interface and foundational data literacy concepts, so you will be able to effectively work with the dashboards and reports others in your organization create.

1. Introduction to Data Literacy
2. Recognizing Well-Structured Data
3. Exploring Variables and Field Types
4. Explroing Aggregation and Granularity
5. Understanding Distributions
6. Understanding Variation for Wise Comparisions
7. Using Correlation and Regression to Examine Relationships
8. Getting Started with Tableau Cloud