Resources and courses

There are free workshop programs at Concordia with Data Scientifique https://www.datascientifique.ca/ and through GradProSkills https://www.concordia.ca/students/gradproskills.html

Hadley Wickham’s R for Data Science (free!)

Danielle Navarro’s Intro to R: https://learningstatisticswithr.com/ (great for total beginners! Some honour students used this and said this is very helpful!)

Data Science online course: https://www.coursera.org/specializations/jhu-data-science (you can take Coursera courses for free or pay a subscription to obtain a certificate)

All you need for pretty graphs: http://www.cookbook-r.com/Graphs/

www.stackoverflow.com

A list of colors for R: http://www.stat.columbia.edu/~tzheng/files/Rcolor.pdf

Google is your best friend for learning R. If you find other examples online of people who had the same problem, try to execute the code for their example + solution into your R environment. Look at their input and output, how is it similar/different to yours? How can you adapt their solution to your specific dataset?

ChatGPT is also an excellent resource for most coding questions

There is an R for Data Science course from Udemy that is great for total beginners