DS 201 Introduction to Data Science

This course teaches critical concepts and skills in data collection, manipulation, exploration, and analysis, and explores the ethical and social considerations inherent in the today's "big data" revolution, such as privacy, design, reproducibility, and bias. Using real-world datasets, students will explore, visualize, and pose questions about data. Prerequisites: Intermediate Algebra.

Credits

3

Distribution

QA

Offered

Annual Fall Semester