Less than two weeks left of #DataCamp. I have learned a lot, including:
* I'm not really a "watch video" learner. I'll see something and immediately after the video I cannot remember what to enter.
* Many DC courses feel a little rough. "Plot this against that" doesn't always mean this is X and that is Y. Further, a lot of times, the exercises go beyond the video lecture, so I look up Python | R-lang | Julia | SQL commands to achieve the requested results, but they're usually not the commands DC wants me to use.
* Often, the instructions in DC exercises are just big gray blocks to me. I don't read them because the level of detail is too high. IRL, there's generally a sort of introduction / summary and a conclusion summary that can inform the early work. This allows details to wait until required.

Probably next step is to get physical books to continue, renew, and expand my learning.