MATH 118 — Foundations in Data Science

Foundations of Data Science: Collecting data, sampling; observational and experimental studies; tables and graphs; histograms; measures of center, spread, and correlation; probability; random variables; normal distributions; confidence intervals; hypothesis testing; regression; ethical issues; algorithm design, flow charting, and debugging; elements of good programming style.