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OII-SDP-2016 / how-to-learn-to-code

This is going to be a legacy project for OII SDP 2016. It will contain a step-by-step guide with resources relevant to scientific programming and data analysis
https://oii-sdp-2016.github.io/how-to-learn-to-code
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paragraph about data analysis #2

Closed FlxVctr closed 8 years ago

FlxVctr commented 8 years ago

Should contain a resource to a course with pandas, e.g. the course on https://www.datacamp.com/

cuducos commented 8 years ago

I nerver know if DataCamp is a free or paid resource… I was looking for alternatives:

I think @FlxVctr is way more experienced than I am to make a decision here… what do you think?

FlxVctr commented 8 years ago

The introductory course on datacamp is free and pretty neat to give you the basics, so I'd include it just as a starter, then you can go on to more advanced stuff.

cuducos commented 8 years ago

Does it has a big overlap with Codecademy's Python course (in the sense of intro do Python)? If it doesn't lets add DataCamp and if you think any of these links above are valuable, we add them to the extras at the bottom of the page.

FlxVctr commented 8 years ago

Yeah, ok, you're right. The relevant course actually is in the paid section … They have a student plan for $9 a month (https://www.datacamp.com/enroll-student), but I'm hesitant to recommend paid ressources (even though I like this one and it's one of the best ressources for R, which would be good for Megs and @jaruizso's part).

cuducos commented 8 years ago

I like your argument (it's one of the best ressources for R). I would add it to the page with a highlight that it is a paid course (pretty good one though) — and meanwhile we try to find some free alternative.

FlxVctr commented 8 years ago

Actually the 10 minutes quick start in the pandas documentation is not that bad: http://pandas.pydata.org/pandas-docs/stable/10min.html