MATH 151 - Introduction to Data Science

An introduction to the language, methods, theory and applications of Statistics. Data from numerous fields are used to show the many uses of basic statistical practice. Includes an introduction to R for basic computer programming, though no prior programming required. Topics include: data summary, graphical techniques, elementary probability, sampling distributions, central limit theorem, inferential procedures such as confidence intervals and hypothesis testing for means and proportions, chi-square test, simple and multiple linear regression, and one-way and two-way analysis of variance (ANOVA).

Prerequisites & Notes
MATH 101 Calculus I or above or COMP 115 Problem Solving and Python Programming or above or Permission of Instructor

This is an undergraduate course.

Credits: 4