# 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](http://r4ds.had.co.nz/) (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](http://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&#x20;

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