Monthly Subscription Starting at AED 99 + VAT

Mastering Software Development in R
  • Level Foundation
  • Course by Johns Hopkins University
  • Offered by

About

R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians. This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing and scaling useful data science results and products. This Specialization will give you rigorous training in the R language, including the skills for handling complex data, building R packages, and developing custom data visualizations. You’ll be introduced to indispensable R libraries for data manipulation, like tidyverse, and data visualization and graphics, like ggplot2. You’ll learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. This Specialization is designed to serve both data analysts, who may want to gain more familiarity with hands-on, fundamental software skills for their everyday work, as well as data mining experts and data scientists, who may want to use R to scale their developing and programming skills, and further their careers as data science experts.

Auto Summary

Mastering Software Development in R, offered by Coursera, focuses on R programming for data science. This foundational course covers handling complex data, building R packages, and creating custom visualizations using libraries like tidyverse and ggplot2. Ideal for data analysts and data scientists, it enhances software development skills for producing scalable data science tools. Subscription options include Starter.

Roger D. Peng, PhD
Instructors

Roger D. Peng, PhD

Brooke Anderson
Instructors

Brooke Anderson