The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.
Classes will be held Tuesdays 10:00-11:30am in ESB142, and Thursdays 12:00-1:30pm in MS2173.
Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program.
Start date: 9 Sep. 2025
End date: 27 Nov. 2025
Scientific Computing Credits: 8
Data Science Credits: 28