dfo-mar-odis / shinySpatialApp

Spatial Reproducible Reporting
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R Training for RR #124

Closed stoyelq closed 1 year ago

stoyelq commented 1 year ago

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

stoyelq commented 1 year ago

@stoyelq to wrap this up into a bundle of training ticket templates and wiki entries.