Pet projet: an other step to learn data science

(This article was first published on Joris Muller's blog - Posts about R, and kindly contributed to R-bloggers)

Pet in finger

Learning data science is a long path well described in this datacamp’s post. And as any skill, the best way to get it is to practise! Then, I would like to start some pet projects clearly distinct from my work projects. This way I could test as I want without being constraints by some technical limits or goal that don’t fit with what I want to learn.

Let’s put some rules on this game:

  • These projects will be centred on some techniques (i.e.: new package, data visualisation techniques…), not on particular practical question to answer with some data.
  • But I will write an objective for each analysis that fit with the technique I want to test.
  • Keep the thing small enough to be achieved in a reasonable time. Due to my professional and family duties, I have few spare time.
  • Keep things fun enough to keep the taste to do it.
  • Publish everything on GitHub and, when done, a small post on this blog.

Enough rules for the moment! Let’s start! Because I’m a French medical doctor, I will pick up some data about health from the official government’s open data repository (

To leave a comment for the author, please follow the link and comment on their blog: Joris Muller's blog - Posts about R. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)