Computer Science/Mathematics 230. Statistics and Data Mining

This project-based course builds on what was learned in Mathematics 130 with an eye on big data sets.
Topics include regression analysis, least squares, and decision-making based on inference. Special cases of the
regression model, analysis of variance (ANOVA) and covariance (ANCOVA), and logistic regression models
will be covered. Attention will be given to conditioning data sets for analysis and summarizing data and
conclusions efficiently and effectively. Throughout the course, the programming language R will be used.
Prerequisites: Mathematics 130.

Course Information
  • Credit:3

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