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.

The R Programming Environment

The R Programming Environment
This course is part of Mastering Software Development in R Specialization


Instructors: Roger D. Peng, PhD
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Reviewed on Jun 10, 2020
Overall, it is an excellent course. However, there was a big difference in terms of difficulty between the quizzes, especially with the last one.
Reviewed on Sep 13, 2021
Great Introduction, may we worth clarifying that for Data Manipulation the script must be saved before entering submit() as you cannot make progress.
Reviewed on Jul 26, 2017
I like the swirl exercises, but found the text lessons to be very short. Overall, good but I hope some video will be given in future modules.
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