MATH 205 - Introduction to Data Science (4)

Provides a hands-on introduction to the basic statistical concepts, computational thinking, and computing skills most often used in applications of data science. Students are equipped with the knowledge and skills necessary to manipulate real-world data, think critically about data sets and their implications, and carry out data analyses in different fields such as social science, business analytics, health science, and humanities. Topics covered include an introduction to the software program R, data visualization, data wrangling, basics of probability and statistical inference, linear regression, prediction, cross-validation, classification, and machine learning. Satisfies the General Education Mathematics requirement. Offered: Every term.