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The R Programming Environment

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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.

Johns Hopkins University Online Course Highlights
  • weeks long
  • Learn for FREE, Upgradable
  • Self-Paced
  • Taught by: Roger D. Peng, Brooke Anderson
  • View Course Syllabus

Online Course Details:

W

hether 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. Like this course there are many other courses are available visit John Hopkins Online Courses.

SKILLS YOU WILL GAIN:

  • Data Manipulation
  • Regular Expression (REGEX)
  • R Programming
  • Rstudio

Take This Online Course