It’s been about 5 days since I started #100Daysof[skill], and I have two comments so far:
- #100Daysof[skill] is a great way to do concentrated sprints of learning; that said,
- be careful you don’t do too much and burn yourself out.
It’s hard, because its all so new and shiny and aLL The THINGS AREso FUN AND HOW DID ILIVEWITHOUT THISOMGIMLOVINGIT. I have to keep reminding myself that I don’t have to learn everything in the world in 100 days.
*looks at mirror, points to self*
The point is to pick a very manageable skill and work on a project to help you hone that skill, not master everything.
That said, did you know that web development and basic computer science are two great things to learn a little bit about as a data scientist? If your answer is no, don’t feel bad because I didn’t either.
After five days in though, I’m beginning to feel the desire to know a little bit more than I do about the fundamentals of computer programming and specifically, web development. It would be nice to be able to use the models and the conclusions that I come up with in an application or display it on a stand-alone site that isn’t part of my portfolio or stuck in a GitHub repo.
Real talk: not everyone is going to want to read your code, your white paper, or your journal article. A lot of very wonderful people in the community will want to, and making these things available to them is important. I also think it’s important to strive to create things that everyday people can see and use, preferably separate from mainstream news organizations. I’m not anti-journalism, but I think individuals pushing data driven apps and code is a great thing that should be encouraged as an antidote to fake news. In addition, it’s good to have a grassroots community that can create its own code of conduct and set community-based standards that are divorced from the need to create revenue and products.
I added some new resources to the resource page. Find me on Twitter to chat about your projects & share your favorite resources.