Solved! Go to Solution.
Hi Sean,
@JohnJPS makes some good suggestions and I'll throw in some handy web resouces.
www.kdnuggets.com is a great resource with links to MOOCs, free books, articles, webinars, the works.
www.datasciencecentral.com as it has a lot of information too.
As John said the best courses combine learning the language with real world use cases.
R is handy especially because of the R tool in Alteryx, but like John my sense is that Python has more steam. I find it an easier language to use between the two and it has a amazingly strong user community. Looking at Dice.com I saw 1100 listings when searching for R and 6000 when searching for Python.
The Jupyter notebooks are very friendly and can be used with either language. Rstudio is good if you want the R route.
Cheers,
Bob
I'll second all the info already provided.
But if you're really starting from scratch, you could try this which is used as pre-work for some data science programs as an intro to Python. Its quick on each topic and very focused. You can run through the free HTML version exercise by exercise.
Thank you all for your ideas - lots to work with here!
I second Sololearn for python (and other languages). It's free. I did it on my phone whenever I had moment. The lessons get progressively harder and quizzes are challenging but I learned a lot. I would start with py first then R. Also, there are R libraries that you can leverage in python once you get up to speed on py.
If you have $1200-$1500 to spend, Udacity also has a Data Analyst nanodegree program which includes R, python, SQL and Tableau.
https://www.udacity.com/course/data-analyst-nanodegree--nd002
good luck!
Simon