Description

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.

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Career Relevance by Data Role

The techniques and tools covered in The R Programming Environment are most similar to the requirements found in Data Scientist job advertisements.


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Fast Facts

Tools
Rtidyverse

Techniques
Big DataData ScienceData SetsFinance AnalyticsProgrammingRegular Expressions

Similar Opportunities
R for Data Science

Online Textbooks

Advanced R

Online Textbooks