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The R Programming Environment

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.

Created by Johns Hopkins University


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What you’ll learn


From this educational opportunity you can acquire the skills sought by companies these days. The most relevant technique within the educational opportunity that is commonly mentioned from organizations is Data Sets. The most in demand tool is R. You will also find out about Programming Skills, a trait often mentioned in job descriptions.

Who will benefit?


Mapping material from this learning resource with nearly 10,000 data-related job descriptions, we find that those interested in Data Scientist roles would benefit the most.