90-800 Exploratory Data Analysis and Visualization with Python

6 units, Carnegie Mellon University

This course covers the fundamentals of exploratory data analysis (EDA) and data visualization with Python. Through exploratory data analysis, students will learn how to perform an initial analysis on data, how to ask questions to their data, discover patterns and anomalies. This course will focus on asking questions to build data stories, applying statistical concepts to analyze data, and producing effective visualizations.

Prerequisites: (90-819 (min B) or 95-888 (min B)) and (90-707 (min B) or 95-796 (min B) or 90-777 (min B) or 90-711 (min B))

Offered: Fall 2026, Fall 2025

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