Analyze Data with R
Use R to process, analyze, and visualize data.
Includes Data Cleaning, Regression, Statistical Analysis, Visualization, and more.
Time to completeAverage based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary21 hours
Certificate of completionYes
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
Syllabus7 units • 19 lessons • 13 projects • 13 quizzes
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.
Introduction To Programming In R
Gain familiarity with basic data structures and essential coding concepts like control flow, loops, and functions in R.
Statistics In R
Learn how to calculate different descriptive statistics using R. Then use your new understanding of statistics to begin making hypotheses.
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!
Data Visualization In R
Learn how to create a variety of visualizations in R using the library ggplot2.
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.
Analyze Data With R Capstone Project
You’re almost there! Now it’s time to create one final project using everything you’ve learned.
Projects in this skill path
Calculating Population Change Over Time with RIn this project, you will learn how to use the basics of R syntax and operations to make calculations.
Day of the RaceIt's the day of a citywide track race and you're helping out your friends!
Central 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.
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What's included in skill paths
Practice ProjectsGuided projects that help you solidify the skills and concepts you're learning.
AssessmentsAuto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
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