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Johns Hopkins University - The R Programming Environment 

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The R Programming Environment
 at 
Coursera 
Overview

Duration

18 hours

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

The R Programming Environment
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum

The R Programming Environment
 at 
Coursera 
Highlights

  • 13% got a pay increase or promotion
  • 42% got a tangible career benefit from this course
  • Get a certificate upon successful completion from John Hopkins University
  • Includes hands-on project, quizzes and graded assignments
Read more
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The R Programming Environment
 at 
Coursera 
Course details

What are the course deliverables?
  • 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.
More about this course
  • 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

The R Programming Environment
 at 
Coursera 
Curriculum

Week 1: Basic R Language

Basic R Language: Lesson Choices

Week 2: Data Manipulation

Data Manipulation: Lesson Choices

Week 3: Text Processing, Regular Expression, & Physical Memory

Text Processing, Regular Expression, & Physical Memory: Lesson Choices

Week 4: Large Datasets

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The R Programming Environment
 at 
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