DSCI 101 - Statistics for Data Science

Prerequisite: DSCI 100
Transfers to:CSU

This course is an introduction to descriptive and inferential statistics, emphasizing the combined use of mathematics and programming for data science applications. The course provides hands-on experience with data analysis using modern statistical software, including the interpretation of statistical findings. Topics include numerical and graphical summarization of central tendency and spread, probability, normal, and binomial distributions. This course also addresses sampling distributions, t-distribution, the chi-squared distribution, estimation, hypothesis testing, and analysis of variance with linear and multiple regression. Students work with big data and complete a research project employing simple statistical inference and advanced modeling techniques.