MATH M37DS

Introduces probability and statistics with linear algebra for data science. Emphasizes probability distributions, inferential statistics, and linear models as well as the ethical use of data. Covers applications of statistical programming for data science. Recommended Prep: MATH M21 or MATH M35. Prerequisites: CS M10DS and MATH M25C and MATH M31 and MATH M15 or MATH M15H. Transfer credit: CSU; UC. Applies to Associate degree.