The R Programming Environment Course – Coursera

Crash Course on Data Science

The R Programming Environment Course – Coursera

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, focusing 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 manipulating 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 can 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 experience programming computers but are not familiar with the R environment. This is a good building block in learning data science.

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