Foundations of Data Analysis & Visualization with Python

Data is one of today’s most valuable business assets, but its true value lies in the ability to transform it into actionable insights. Thanks to its powerful ecosystem, flexibility, and widespread adoption across industries, Python has become the leading programming language for data analysis and visualization. This course equips participants with practical skills to analyze, visualize, and communicate data using industry-standard Python libraries, enabling them to support evidence-based decision-making and create value for their organizations.

While Foundations of Data Analysis & Visualization with Python can be taken as a standalone course, it also serves as the foundation of EPFL’s learning pathway in applied data analytics. It is the first of four Microcredentials leading to the Certificate of Open Studies (COS) in Applied Data Analytics and Visualization, providing a flexible pathway towards an EPFL credential in applied data analytics.

Upon successful completion of this course, participants will be able to:

• Apply core NumPy and Pandas methods to create and manipulate arrays, Series and DataFrames
• Conduct exploratory data analysis (EDA) to identify patterns and support data-driven decision making
• Select appropriate chart types to represent data effectively using Matplotlib and Seaborn
• Construct multi-panel visualizations and advanced layouts for reporting purposes
• Present analytical findings to technical and non-technical audiences using effective data storytelling techniques.

Stackable into Certificate of Open Studies (COS) in Applied Data Analytics and Visualisation

Nongraded

Professionals who work with data and want to use Python to analyze, visualize, and communicate insights more effectively. The course is also suitable for aspiring data analysts, early-career professionals, and career changers looking for a practical and structured introduction to data analysis with Python.