36-641 Gaining Insights through Statistical Modeling and Machine Learning

6 units, Carnegie Mellon University

This course is only for students completing the Foundations of Data Science Online Graduate Certificate. This course is designed to introduce how to approach and analyze data, topics include data input/output, basic data processing, exploratory data analysis, clustering, common regression and classification models (including those of classical statistics and of machine learning), and experimental design. Students will practice using these methods on real-world data and will subsequently apply them when analyzing data in the program's Data Science Capstone course.

Prerequisites: none listed

Offered: Fall 2026, Spring 2026

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