Data Science Bootcamp
Training in data analysis and software for students
Event
Join us for Data Science Bootcamp, where participants will learn data analysis and receive hands-on software training.
June 10–21
University of Saskatchewan
This bootcamp is intended for graduate and senior undergraduate students; a limited number of non-students will also be accepted to participate.
Courses include:
- Introduction to Machine Learning: Linglong Kong, University of Alberta
- Statistical Methods for High-throughput Data: Wenqing He, Western University
- Data Visualization: Stephen Kobourov, University of Arizona
- Case Studies:
- Shahedul Khan, University of Saskatchewan
- Raymond Carroll, Texas A&M University
- Lisa Lix, University of Manitoba
- Nathaniel Osgood, University of Saskatchewan
Details and registration: math.usask.ca/data_science_bootcamp_2019
Sponsored by the Pacific Institute for the Mathematical Sciences (PIMS), Canadian Statistical Sciences Institute (CANSSI), Statistical Society of Canada (SSC) and the University of Saskatchewan.
Upcoming Events
The Hidden Costs of High Notes: Detangling Music Health Narratives
Nov 19, 2025
A talk and performance in the Fine Arts Research Lecture Series (FARLS) in Music by Dr. Betty Allison (DMA)
Making Love with the Apocalypse: Oji-Cree Epistemologies and Indigiqueer Futurisms
Nov 20, 2025
A talk in the Feminist Futurities Speaker Series by author Dr. Joshua Whitehead (PhD)
3D Printing and Cultural Heritage
Nov 20, 2025
Explore how 3D technologies are transforming the preservation, communication, and teaching of art and artifacts