Here is a list of some really interesting Data Science projects of 2015. Thanks to Jeff Leek from @simplystatistics for putting this together.
Some of my picks from the list are:
* I’m excited about the new R Consortiumand the idea of having more organizations that support folks in the R community.
* Emma Pierson’s blog and writeups in various national level news outlets continue to impress. I thought this oneon changing the incentives for sexual assault surveys was particularly interesting/good.
* As usual Philip Guo was producing gold over on his blog. I appreciate this piece on twelve tips for data driven research.
* I am really excited about the new field of adaptive data analysis. Basically understanding how we can let people be “real data analysts” and still get reasonable estimates at the end of the day. This paper from Cynthia Dwork and co was one of the initial salvos that came out this year.
* Karl Broman’s post on why reproducibility is hard is a great introduction to the real issues in making data analyses reproducible.
* Datacamp incorporated Python into their platform. The idea of interactive education for R/Python/Data Science is a very cool one and has tons of potential.
Picture Courtesy: kdnuggets.com