Data Visualization
Executive Education, , 2022
Introduction to data visualization, concepts and practice with Python. Part of the Executive Education program of SCAI and Sorbonne Abu Dhabi
Concepts covered
- Learn to design and build effective data visualizations
- Understand core visualization principles and chart selection
- Gain hands-on experience with key Python libraries
- Create interactive visualizations and dashboards
- Communicate insights clearly using real-world datasets
Content
Part 1 – Foundations of Data Visualization
What makes a good (and bad) visualization? Data types → chart types Overview of Python libraries Hands-on: Pandas and Matplotlib basics
Part 2 – Foundations of Data manipulation and Pandas library
Learn how to load, explore, clean, transform, and summarize tabular data using the Pandas library
Part 3 – Deep Dive: Matplotlib and Seaborn
Learn how to use Python libraries to create efficient plots with Matplotlib (basics) and Seaborn for Statistical Plots
Part 4 – Interactive Plots with Bokeh
Learn how to use Python libraries to create interactive plots and dashboards with Bokeh library.
Final Deliverables
- Analysis of a dataset and visualization
- Select tools and components
- Define a story and insights
- Implement an interactive dashboard using Bokeh
- Code and HTML dashboard submissions
Audiences
Professionals in finance, ~10 students
Delivered April 2024 and May 2025.