Google

Data Analysis with R Programming

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Top Instructor

611,462 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.8

(10,520 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 33 hours
Learn at your own pace
98%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.8

(10,520 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 33 hours
Learn at your own pace
98%
Most learners liked this course

What you'll learn

  • Describe the R programming language and its programming environment.

  • Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors.

  • Describe the options for generating visualizations in R.

  • Demonstrate an understanding of the basic formatting in R Markdown to create structure and emphasize content.

Details to know

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Assessments

37 quizzes, 1 assignment

Taught in English

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Build your Data Analysis expertise

This course is part of the Google Data Analytics Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 5 modules in this course

R is a programming language that can help you in your data analysis process. In this part of the course, you’ll learn about R and RStudio, the environment you’ll use to work in R. You’ll explore the benefits of using R and RStudio as well as the components of RStudio that will help you get started.

What's included

6 videos8 readings7 quizzes1 plugin

Using R can help you complete your analysis efficiently and effectively. In this part of the course, you’ll explore the fundamental concepts associated with R. You’ll learn about functions and variables for calculations and other programming. In addition, you'll discover R packages, which are collections of R functions, code and sample data that you’ll use in RStudio.

What's included

8 videos8 readings7 quizzes1 plugin

The R programming language was designed to work with data at all stages of the data analysis process. In this part of the course, you’ll examine how R can help you structure, organize, and clean your data using functions and other processes. You’ll learn about data frames and how to work with them in R. You’ll also revisit the issue of data bias and how R can help.

What's included

8 videos8 readings7 quizzes1 assignment1 plugin

R is a tool well-suited for creating detailed visualizations. In this part of the course, you’ll learn how to use R to generate and troubleshoot visualizations. You’ll also explore the features of R and RStudio that will help you with the aesthetics of your visualizations and for annotating and saving them.

What's included

9 videos7 readings9 quizzes1 plugin

When you’re ready to save and present your analysis, R has different options to consider. In this part of the course, you’ll explore R Markdown, a file format for making dynamic documents with R. You’ll find out how to format and export R Markdown, including how to incorporate R code chunks in your documents.

What's included

8 videos6 readings7 quizzes

Instructor

Instructor ratings
4.8 (3,304 ratings)
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Recommended if you're interested in Data Analysis

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4.8

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