CMPINF 2105 MATHEMATICAL AND STATISTICAL FOUNDATIONS FOR DATA SCIENCE

This course will create the foundational mathematical, statistical, and analytical skills needed for subsequent in-depth courses in data science. Students will be introduced to important calculus, matrix, statistics and probability fundamentals important in data science. These topics are taught in a hands-on manner to focus on the practical application rather than a purely theoretical treatment of the material. No programming experience is required as all concepts are demonstrated with Excel. "Pen and paper" exercises are completed in Jupyter notebooks to familiarize students with Jupyter and to introduce LaTeX.

Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Minimum Credits: 3
Maximum Credits: 3

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