Useful R packages in a handy searchable table. The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in.

There are three steps to implementing packages in R. Know the name of the package ... Center for Analytics and Data Science. 165 McVey Data Science Building. 105 Tallawanda Rd. Oxford, OH 45056.

R is slightly more popular than Python in data science, with 43 percent of data scientists using it in their tool stack compared to the 40 percent who use Python. It’s a programming environment ...

Another popular language for machine learning is R, which is covered in 3 courses. You’ll be introduced to R data science techniques, data science packages like h20 and MXNET, and deep learning ...

This online data science specialization is designed for anyone interested in learning how to program in R. You will learn the basics of R, including imputing data, performing basic analysis, graphing, ...

Python was not built specifically for data science workloads, but it does include many features that make it easy to code against data science workloads such as read-eval-print loops, notebooks and ...

I was the founding director for the MS in Data Science at CU for both the online Coursera and residential modes. As director, I developed and taught Data Science as a Field in both modes. Additionally ...