Lognormality > Data Science Specialization

22 January 2015 | | categories: projects, rstats, school | blog archive


Data Science Specialization by Johns Hopkins Bloomberg School of Public Health photo credit: Johns Hopkins Bloomberg School of Public Health

-[ introduction ]-

I’m currently (2016) taking the courses in the Johns Hopkins University/Coursera Data Science Specialization. This is a collection of things related to those courses and will be updated as I move through the specialization. Please don’t steal my stuff and please credit me if you use any of this.

-[ developing data products (january - february 2016) ]-

-[ practical machine learning (december 2015 - january 2016) ]-

-[ regression models (november 2015) ]-

-[ statistical inference (july 2015) ]-

-[ reproducible research (may 2015) ]-

-[ exploratory data analysis (april 2015) ]-

-[ getting and cleaning data (february 2015) ]-

-[ r programming (january 2015) ]-

-[ the data scientist’s toolbox (december 2014) ]-



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