Go to content ALT+c

Training and Education

Thursday December 13, 2018 - 04:50
  

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 2019)

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 ...

Instructor: Erik Spence
- 24 events of 60 minutes

 
Data Science (university credit) 2019-01-09

Archived Courses and Events

MSC1090 Introduction to Computational BioStatistics with R (Fall 2018)

Introduction to Computational BioStatistics with R
MSC1090

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 students to perform scienti...

Instructor: Marcelo Ponce
- 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
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 ...

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

 
Data Science (university credit) 2018-01-05
MSC1090 Introduction to Computational BioStatistics (Winter 2018)

Introduction to Computational BioStatistics
MSC1090

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 students to perform scienti...

Instructor: Marcelo Ponce
Attended: 54 - 24 events of 180 minutes

 
Data Science (university credit) 2018-01-09
MSC1090 Introduction to Clinical BioStatistics (Quantitative Applications for Data Analysis, Fall 2017)

Introduction to Clinical BioStatistics
MSC1090

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 students to perform scienti...

Instructor: Marcelo Ponce
Attended: 51 - 24 events of 180 minutes

 
Data Science (university credit) 2017-09-12


Questions? Contact Support.
Web site engine's code is copyright Ā© ATutorĀ®. About ATutor.
Modifications and code of added modules are copyright of SciNet.