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, ...

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 ...

This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...

For this reason, R is the best for deep statistical analysis using beautiful data visualizations and a few lines of code. R Vs. Golang Golang is an open-source project that Google launched in 2007.

But if you grasp the basics and want to learn data visualization fundamentals in R, I recommend Coursera’s guided project, Application of Data Analysis in Business with R Programming.

Whether transitioning from biostatistics, software engineering or a broader STEM field, developing programming expertise—especially in the Statistical Analysis System (SAS), R, Python ...

R, a powerful programming language for statistical computing, has become a staple in data analysis due to its extensive library of tools and visualizations. Combined with the robustness of Linux, a ...

R vs Python: What are the main differences? Your email has been sent More people will find their way to Python for data science workloads, but there’s a case to for making R and Python ...