Skill Path
Use R to process, analyze, and visualize data.
Includes Data Cleaning, Regression, Statistical Analysis, Visualization, and more.
To start this Skill Path, upgrade your plan.
15,822 learners enrolled
Skill level
Beginner
Time to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
21 hours
Certificate of completion
Yes
Prerequisites
None
About this skill path
R is a powerful programming language built specifically for data science by actual data scientists. In this Skill Path, you will learn to clean and process data, build statistical models, and create meaningful data visualizations. Along the way, you will use real-world data to demonstrate your skills by producing analytics reports.
Skills you'll gain
- Create a data report
- Visualize data
- Build regression models
Syllabus
7 units • 19 lessons • 13 projects • 13 quizzes
1
What Is R?
Welcome! You’re about to dive into the world of R. Let’s get familiar with R’s strengths and the tools we’ll be using in this course.
2
Introduction To Programming In R
Gain familiarity with basic data structures and essential coding concepts like control flow, loops, and functions in R.
3
Statistics In R
Learn how to calculate different descriptive statistics using R. Then use your new understanding of statistics to begin making hypotheses.
4
Working With Data In R
Get your hands dirty working with data frames in R. Learn how to clean, reshape, and investigate a variety of data sets!
5
Data Visualization In R
Learn how to create a variety of visualizations in R using the library ggplot2.
6
Introduction To Machine Learning In R
Dip your toes into the world of machine learning in R by learning how to build and interpret linear regression models.
7
Analyze Data With R Capstone Project
You’re almost there! Now it’s time to create one final project using everything you’ve learned.
Certificate of completion available with Plus or Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
The platform
Hands-on learning
Explore features
Projects in this skill path
- practice ProjectCalculating Population Change Over Time with RIn this project, you will learn how to use the basics of R syntax and operations to make calculations.
- practice ProjectDay of the RaceIt's the day of a citywide track race and you're helping out your friends!
- practice ProjectCentral Tendency for Housing Data in RIn this project, you will use your knowledge of mean, median and mode to make conclusions about three boroughs in New York City: Brooklyn, Manhattan, and Queens.
Earn a certificate of completion
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Reviews from learners
The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
Chris
Codecademy Learner@ USA
I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
Rodrigo
Codecademy Learner@ UK
Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
John-Andrew
Codecademy Learner@ USA
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Skill paths help you level-up
1
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2
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3
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Related resources
- ArticleWhat is R?And what is R programming used for?
- ArticleIntro to Data AcquisitionExploring and defining the methods of obtaining data
- ArticleWhy Data Structures?Learn what data structures are, why they are useful, and how you can use them effectively.
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What's included in skill paths
Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.
Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.
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