Course

Introduction to Data Analysis in R

The R programming language is one of the most commonly used programming languages to perform data analysis. In this course, you’ll learn the fundamentals of R. No previous coding experience is necessary. By the end, you’ll be writing simple computer programs to perform data analysis.

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Part of the Data Analyst (R), and R Basics for Data Analysis paths.

4.8 (359 reviews)

45,218 learners enrolled in this course.

Beginner friendly
3 hours
Self paced
5 lessons

“I was immensely impressed by how well the math is taught on Dataquest, anyone can learn it. Only the most important concepts are used so you don’t waste time.”

Ashray Adappa

Data Analyst Consultant @Fractal

Introduction to Data Analysis in R

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Course overview

This interactive R course for beginners teaches fundamental data analysis skills and helps you begin your journey to become a successful data professional.
In this course, you’ll learn to use basic arithmetic; write code using R syntax; and work with different data types, values, and vectors in the data analysis workflow, including data exploration, manipulation, analysis, and visualization with R.
Best of all, you’ll learn by doing – you’ll write code and get feedback directly in the browser.

Key skills

Executing calculations using arithmetic operators
Performing basic R operations, such as creating and naming variables
Completing the data workflow
Writing computer programs using R

Course outline

Introduction to Data Analysis in R [5 lessons]

Introduction to Programming in R 1h

Lesson Objectives

Implement R programming syntax basics
Identify data types
Perform calculations using common arithmetic operators

Arithmetic Expressions and Variables in R 1h

Lesson Objectives

Perform calculations using arithmetics operators
Save values using variables
Update variables
Process numerical data

Logical Expressions in R 1h

Lesson Objectives

Perform calculations using relational operators
Perform calculations using logical operators
Employ logical expression

Data Manipulation with R: Basics 1h

Lesson Objectives

Identify why tidyverse packages are essential for data analysis
Import a dataset in R
Explore the dataset
Visualize the data

Project: Install RStudio 1h

Lesson Objectives

Install RStudio
Practice programming
Improve your data analysis workflow using RStudio

The Dataquest guarantee

Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.

We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

Master skills faster with Dataquest

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Share the evidence of your hard work with your network and potential employers.

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Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”

Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”