Data Visualization

"A picture is worth a thousand words and... data itself!

However, it's important to select illustrations carefully based on the types of variables and the researcher's objectives.

This workshop will cover various types of charts and how to structure them into an attractive dashboard. It will compare different possibilities using common proprietary tools such as Excel, Power BI, and Tableau, as well as open-source tools like Python and two of its charting libraries: Matplotlib and Seaborn."

• Translate any case study into a comprehensive database.
• Learn to create various types of tables including counts/frequencies and percentages.
• Understand the importance and effectiveness of using graphs.
• Present data in an innovative and efficient manner.
• Compare the usage of Excel, Power BI, and Tableau with Python.
• Interpret chart outputs accurately.
• Gain knowledge of the basics of color harmony.
• Introduction to Creating Infographics.
•  Mastering related AI prompt engineering 

Day 1:

- Designing Efficient Data Sets and Pivot Tables for Excel charting

Day 2: 

- Pies / Doughnuts / Bars / Histograms / Waterfall / ...

Day 3:

- Illustrating data with Power BI and Tableau

Day 4:

- AI prompting for automated Python coding with DALL-E and Julius.

- Comprehensive colored PPT booklet

- The multiple ways of generating charts 

- Group applications with adequate software 

- Pivot Tables

- 360 exploration of data representation

- Case studies from A to Z complete

- Proprietary tools for data visualization 

- Open source tools for data visualization 

- Infographics