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Udemy's Tableau A-Z: Hands-On Tableau Training For Data Science! Harness the power of your data. Unleash the potential of your people. Learn data visualization through Tableau and create opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.

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Tableau-A-Z

Udemy's Tableau A-Z: Hands-On Tableau Training For Data Science! Learn data visualization through Tableau and create opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.

Concepts learned:

  1. Install Tableau Desktop
  2. Connect Tableau to various Datasets: Excel and CSV files
  3. Create Barcharts
  4. Create Area Charts
  5. Create Maps
  6. Create Scatterplots
  7. Create Piecharts
  8. Create Treemaps
  9. Create Interactive Dashboards
  10. Create Storylines
  11. Understand Types of Joins and how they work
  12. Work with Data Blending in Tableau
  13. Create Table Calculations
  14. Work with Parameters
  15. Create Dual Axis Charts
  16. Create Calculated Fields
  17. Create Calculated Fields in a Blend
  18. Export Results from Tableau into Powerpoint, Word, and other software
  19. Work with Timeseries Data (two methods)
  20. Creating Data Extracts in Tableau
  21. Understand Aggregation, Granularity, and Level of Detail
  22. Adding Filters and Quick Filters
  23. Create Data Hierarchies
  24. Adding Actions to Dashboards (filters & highlighting)
  25. Assigning Geographical Roles to Data Elements
  26. Advanced Data Preparation

References:
https://www.tableau.com
https://public.tableau.com
https://www.udemy.com/tableau10
https://www.superdatascience.com/tableau

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Udemy's Tableau A-Z: Hands-On Tableau Training For Data Science! Harness the power of your data. Unleash the potential of your people. Learn data visualization through Tableau and create opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.

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