Data Science Bootcamp

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.

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