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This event is the inaugural Data Science Bootcamp hosted by the University of Saskatchewan.

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.


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