SDS 322E SDS 322E. Elements of Data Science. 3 Hours.
Explore data science tools and examine data wrangling; exploratory data analysis and data visualization; markdown and data workflow; simulation-based inference; and classification methods. R programming is emphasized and Python programming is introduced. Three lecture hours and one laboratory hour a week for one semester. Statistics and Data Sciences 322E and 348 may not both be counted. Prerequisite: An introductory statistics course.