Data Visualization

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

However, it's essential 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 standard 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 innovatively and efficiently.
• 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.