A Response to DataCamp

As some of you might know, we are trying to create a community-sourced data science repo (please see https://github.com/Chris-Engelhardt/data_sci_guide) that people can use in lieu of DataCamp.

After inviting others to contribute (https://twitter.com/EngelhardtCR/status/1116743032492253185), I realized that my open invite lacks structure.

To address this problem, Noam Ross and I have pulled together a spreadsheet of DC courses: https://docs.google.com/spreadsheets/d/1LtaeWPzEhRiy-kdNZBn0gPwc6aTYkWtt6Cau6PzcXuo/edit?usp=sharing

The final column in the sheet is entitled alternative_resources. In this column, please include a comment (right click on the field --> select comment) with a link to the single best resource you know of that can substitute for a particular course. If someone has commented before you, please suggest a different resource with a brief explanation as to why you feel an alternative might be better for people wanting to learn that particular material.

I will resolve comments and post back to the previously-started GitHub repo.

I have learned over the past 2 weeks a tremendous amount about what the #rstats community stands for. I am grateful to be part of it.

Thank you in advance for any contributions you are able to make!


As someone who's still cutting my teeth in R and DS altogether, as well as someone who's seen the effects of sexual harassment and assault, I am incredibly thankful for this work.

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