Students

Students: Learning and Research

• Provide help desk support for inquiries on data collections and data management
• Consult on technical or programming issues related to data manipulation and analysis
• Support the use of Rotman Analytics Cluster

Free Online Resources

Students are encouraged to explore many free online learning resources. Below is a short list.

Python

• Python Data Science Handbook
• Python Style Guide
• Free Online Python Coding Environment: 1) Google Colab; 2) Uoft Jupyterhub

R

• UofT Department Of Statistical Sciences Self-paced R Learning Modules
• Datacamp's free Introduction to R course
• Hands-On Programming with R
• R for Data Science
• Advanced R
• R Cheat Sheets
• R Style Guide
• Free Online R Coding Environment: 1) RStudio Cloud; 2) Uoft Jupyterhub

SAS

• SAS Academic Programs
• Free e-learning
• How-to Video Tutorials

Other Resources

Coursera is a great online learning resource. It's currently free for all UofT students (until April 20, 2021). See here for details and how to set it up. Note that in general Coursera courses are mostly free to audit but if you want to access graded assignments or earn a course certificate, you will need to pay. The current Uoft access includes free course certificates if registered by February 28, 2021. Below are two Coursera specializations to get you started with Python and R.

• Applied Data Science with Python Specialization
• Data Science: Foundations using R Specialization

In addition, Toronto Public Library (TPL) cardholders have free access to lynda.com, where you can find video courses on Python, R and many more. Following are a few courses that you may find useful. (Note: lynda.com was acquired by LinkedIn. To gain free access to the original lynda.com site, login via TPL access online.)

• Python for Data Science Essential Training
• Python Essential Training
• Learning the R Tidyverse