DSC 301 Principles and Techniques of Data Analytics II

3 credits

This course builds on DSC 300 Principles and Techniques of Data Analytics I to provide students with a more robust understanding of the tools of a Data Scientist. Data Analytics combines data, computation, and inferential thinking to solve challenging problems to thereby better understand the world. This class explores key principles and techniques of data science, including quantitative critical thinking and algorithms for machine learning methods. It will also introduce students to the ways in which data analytics is deployed in healthcare, marketing, political science, criminal justice, and other fields.

Prerequisite(s): DSC 300 Principles and Techniques of Data Analytics I , and either MTH 165 Survey of Calculus or MTH 171 Calculus I . Only open to students majoring in Data Science.
Spring 2025 (final offering)

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DSC 301 Principles and Techniques of Data Analytics II