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Training and Education

Friday March 24, 2017 - 13:46
  

SciNet is a high-performance computing consortium of the University of Toronto and associated research hospitals, serving the computational needs of Canadian academic researchers. It is one of six such consortia in the Compute Canada family.

This website contains the online content of SciNet's training and education program. It contains lecture videos, slides, links, forums and other electronic material, all publicly available. The materials are organized by course; the list of recent courses can be browsed below.

SciNet users and students can furthermore login to submit assignments and track their progress towards SciNet's Scientific Computing Certificate, Data Science Certificate, and High Performance Certificate.

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EES1137 Quantitative Applications for Data Analysis (Winter 2017)

Quantitative Applications for Data Analysis
EES1137

In this course data analysis techniques utilizing Python and R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform ...
39 enrolled - 24 events of 60 minutes 
Data Science (university credit) 2017-03-24

Past Courses and Events

DAT172 Introduction to Data Analysis with R (Oct.2016)

Introduction to Data Analysis with R
DAT172

The goal of this course is to prepare students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques...
Attended: 66 - 12 events of 60 minutes 
Data Science (university credit) 2016-11-17


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