DATA 200
Introduction to Data Science with R
3 Credits          Weekly (2-2-0)

This course introduces the fundamental concepts of data science using the R programming language. Students will learn how to acquire, clean, manipulate, visualize, and analyze data, as well as build predictive models and extract valuable insights from data sets.

Prerequisites: Minimum grades of C- in CMPT 103 and one of STAT 151 or STAT 161.

DATA 220
Introduction to Data Systems and Tools
3 Credits

This course introduces the systems and tools used in data science, covering techniques for ingesting, processing, analyzing, and visualizing data at scale. Key computational environments are explored, including cloud platforms and command-line interfaces. Students will gain hands-on experience with modern data science tools and platforms, including scripting techniques, programming, version control systems, and data visualization methods. The course also explores various data sources and storage models, emphasizing ethical practices and privacy considerations in data management.

Prerequisites: A minimum grade of C- in CMPT 103.