Introduction to Applied Data Science

Catalog description

Covers concepts such as data management, transformation, analysis, and machine learning, using R. Hands-on projects and real-world problem-solving help identify when data science is useful, with emphasis on ethical applications. No programming experience required. Additional work for graduate students.