The R Programming Environment

Crash Course on Data Science

The R Programming Environment

$39

This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Upon completing this course, learners will have fluency at the R console and will be able to create tidy datasets from a wide range of possible data sources.

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This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings.
As the first course in the Specialization, the course provides the essential foundation of R needed for the following courses. We cover basic R concepts and language fundamentals, key concepts like tidy data and related “tidyverse” tools, processing and manipulation of complex and large datasets, handling textual data, and basic data science tasks. Upon completing this course, learners will have fluency at the R console and will be able to create tidy datasets from a wide range of possible data sources.

Institution: John Hopkins University, via Coursera

Course 1 of 5 in the Mastering Software Development in R Specialization

This course is aimed at learners who have some experience programming computers but who are not familiar with the R environment.

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