Analytics training

Our team offers analytics training related to data mining, coding, machine learning, and more. With a variety of workshops as well as self-paced online modules, we share tools and resources with you.

Gain experience and enhance your analytical skills by joining one of our instructor led workshops. If you prefer to learn at your own pace with the convenience of fitting it in when you have some free time, try one of these free online resources recommended by our team.

Find a list of our workshops, as well as online resources and tools below:

Workshops

All previous workshops with resources and materials presented during the sessions are made available on our online library.

Upcoming session(s):

Rotman Commerce Coding Cafe

Hosted every Thursday from 5-8 pm at Rotman. Email us to find out more!

Weekly schedule:

September
Sept 7 - Intro to Python - RSM338 (5-6pm) + walk-in hours (6-8pm)

Sept 14 - Intro to R – RSM358 (session 1 of 4) (5-6pm) + walk-in hours (6-8pm)

Sept 21 - Intro to R – RSM358 (session 2 of 4) (5-6pm) + walk-in hours (6-8pm)

Sept 28 - Intro to R – RSM358 (session 3 of 4) (5-6pm) + walk-in hours (6-8pm) + Tetris tournament

October
Oct 5 - Intro to R – RSM358 (session 4 of 4) (5-6pm) + walk-in hours (6-8pm)

Oct 12 - GG plot workshop (data visualization) (5-6pm) + walk-in hours (6-8pm)

Oct 19 - Closed

Oct 26 - Advanced Python workshop – part 1 (5-6pm) + walk-in hours (6-8pm)

November
Nov 2 - Advanced Python workshop – part 2 (5-6pm) + walk-in hours (6-8pm)

Nov 9 - Closed for reading week

Nov 16 - Intro to BMO-FRT Lab, presentation by Bachir Chehab (5-6pm) + walk-in hours (6-8pm)

Nov 23 - Assignment and exam support + walk-in hours

Nov 30 - Assignment and exam support + walk-in hours

Free online resources and tools

Explore these free online learning resources and tools at your own pace. Below is a curated list for you to try:

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

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.

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.)