University of Colorado Boulder
Introduction to R Programming and Tidyverse
University of Colorado Boulder

Introduction to R Programming and Tidyverse

This course is part of Expressway to Data Science: R Programming and Tidyverse Specialization

Taught in English

Some content may not be translated

Jane Wall

Instructor: Jane Wall

6,446 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.2

(33 reviews)

Beginner level

Recommended experience

23 hours (approximately)
Flexible schedule
Learn at your own pace
Prepare for a degree

What you'll learn

  • By successfully completing this course, you will be able to write functions in R.

  • You will be able to analyze and visualize a data set.

  • You will be able to use RMarkdown to share documents in reports with the global R community.

Details to know

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Assessments

7 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.2

(33 reviews)

Beginner level

Recommended experience

23 hours (approximately)
Flexible schedule
Learn at your own pace
Prepare for a degree

See how employees at top companies are mastering in-demand skills

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This course is part of the Expressway to Data Science: R Programming and Tidyverse Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 4 modules in this course

In the first module of this course, you will install and configure R and RStudio. You will review the fundamentals of R and reproducibility, install R packages required for the course, and input basic commands using the RStudio console. Finally, you will create an RMarkdown document - the deliverable for this module.

What's included

5 videos6 readings2 quizzes1 peer review1 ungraded lab6 plugins

In this module, we will explore functions in R. You will review the syntax of functions and best practices of function creation. You will also practice writing functions with default arguments and argument validation.

What's included

10 videos7 readings2 quizzes1 peer review4 ungraded labs

In this module, you will be introduced to ggplot2 - an R package for data visualization. You will explore the different grammatical elements and aesthetic mappings (layers) that are essential to visualize data in ggplot2.

What's included

7 videos2 readings1 quiz1 peer review1 ungraded lab

In the final module of this course, you will be introduced to data analysis using dplyr. You will learn and practice with the many dplyr verbs including select, filter, arrange, mutate, group_by, and summarize.

What's included

14 videos3 readings2 quizzes1 peer review3 ungraded labs

Instructor

Instructor ratings
4.1 (10 ratings)
Jane Wall
University of Colorado Boulder
6 Courses24,196 learners

Offered by

Recommended if you're interested in Data Analysis

Prepare for a degree

Taking this course by University of Colorado Boulder may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.

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4.2

33 reviews

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RK
5

Reviewed on Sep 11, 2023

JR
5

Reviewed on Jun 18, 2023

EM
5

Reviewed on Nov 1, 2022

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