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Training and Education

Saturday December 7, 2019 - 14:35
  

SciNet is a high-performance computing consortium of the University of Toronto and associated research hospitals, serving the computational needs of Canadian academic researchers.

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.

Users of SciNet and Compute Canada can furthermore login to submit assignments and track their progress towards SciNet's Scientific Computing Certificate, Data Science Certificate, and High Performance Certificate.

      Category  Starts        
EES1137 Quantitative Applications for Data Analysis  (Winter 2020)

Quantitative Applications for Data Analysis

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 grad...

Instructor: Erik Spence
- 24 events of 60 minutes

 
Data Science (university credit) 2020-01-08

Archived Courses and Events

MSC1090 Introduction to Computational BioStatistics with R (Fall 2019)

Computational BioStatistics with R

In this course data analysis techniques utilizing the 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 st...

Instructor: Marcelo Ponce
- 25 events of 57.6 minutes

 
Data Science (university credit) 2019-09-09
EES1137 Quantitative Applications for Data Analysis (Winter 2019)

Quantitative Applications for Data Analysis

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 grad...

Instructor: Erik Spence
Attended: 22 - 24 events of 60 minutes

 
Data Science (university credit) 2019-01-09
MSC1090 Introduction to Computational BioStatistics with R (Fall 2018)

Computational BioStatistics with R

In this course data analysis techniques utilizing the 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 st...

Instructor: Marcelo Ponce
Attended: 78 - 24 events of 60 minutes

 
Data Science (university credit) 2018-09-11
EES1137 Quantitative Applications for Data Analysis (Winter 2018)

Quantitative Applications for Data Analysis

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 grad...

Instructor: Marcelo Ponce
Attended: 26 - 24 events of 60 minutes

 
Data Science (university credit) 2018-01-05


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