Courses I took and recommend (included in the overview):
• The R Programming course by Johns Hopkins on Coursera (Free if you check “audit” only)
It is a bit slow, has videos to watch, but gives a good understanding of base R. The first 2 weeks are the most important and the loop functions on week 3 (apply functions) and simulations on week 4 can be skipped. (see syllabus here, press “see all”: https://www.coursera.org/learn/r-programming#syllabus)
• The swirl package, a package with offline interactive R coding exercises.
I used this and it was a fun and quick way to pick up syntax.
Action
Develop a learning curriculum to onboard new team member into the RAP universe. Repo is here: https://github.com/dfo-mar-odis/RAP-onboarding
Context:
New hires are coming soon and will need to be brought up to speed. Learning material can go a long way on this front.
Effort
34+ This could almost be a milestone by itself.
Actions:
Note: this may require some customization as some hires may already be familiar with these tools.
Develop learning modules for all of the following:
Gordana's list of learning resources:
Overview with links: https://www.kdnuggets.com/2016/03/datacamp-r-learning-path-7-steps.html
Courses I took and recommend (included in the overview):
• The R Programming course by Johns Hopkins on Coursera (Free if you check “audit” only) It is a bit slow, has videos to watch, but gives a good understanding of base R. The first 2 weeks are the most important and the loop functions on week 3 (apply functions) and simulations on week 4 can be skipped. (see syllabus here, press “see all”: https://www.coursera.org/learn/r-programming#syllabus)
• The swirl package, a package with offline interactive R coding exercises. I used this and it was a fun and quick way to pick up syntax.
I am partial to Harvard courses, namely: https://www.edx.org/course/statistics-and-r
Milestones for Onboarding
GitHub
RAP Board
How we work
Reproducible Report