DSE 1001 - Foundations of Data Science I

Credits: 4

An introduction to data science focused on the three fundamental skills of data exploration, data wrangling, and data visualization. We will use the statistical software packages R and RStudio to create numerical and graphical summaries of built-in and online data sets. Learning will take place through interactive, live class sessions; weekly coding assignments and quizzes; and a semester-long data project. This is a hand-on course; each student will need to bring a laptop to every class meeting to do coding in R and RStudio. No prior knowledge of programming is required.

Prerequisite(s): Prerequisite: MTH 1000 , Concepts in Algebra, MTH 1007 , or MPA part 1 score of 9 or above.
Fulfills: STEM in LS Core