Learn more about the Data Analysis with R Programming course here including a course overview, cost information, related jobs and more.

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

Course Objectives: To learn practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and ...

Expressway to Data Science: R Programming & Tidyverse Specialization This online data science specialization is designed for anyone interested in learning how to program in R. You will learn the ...

Of course you could search online yourself for resources on how to program in R, but we thought we'd go ahead and share a few that we find useful. Some will provide content mainly for the very ...

The demand for data-driven professionals in healthcare and clinical research continues to grow, making statistical programming a highly rewarding and future-proof role.

R expert hopes to settle the debate with an analysis of the programming languages that's "fair and helpful".

Programming languages: Julia touts its speed edge over Python and R Benchmarks suggest programming language Julia may be the best choice for big-data analysis using CSV format files.

All of R’s programming libraries are free, but Revolution Analytics makes its business from its service packages, which give customers access to the libraries the company develops in-house.