In this path, you’ll explore the basics of R and work through the entire data analysis workflow , learn how to use packages and why they are essential in any data analysis process, and how to repeat code efficiently with iterations.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Programming with R
Performing data analysis
Using packages in the data analysis workflow
Exploring how to use and install RStudio to improve your data analysis workflow
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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.
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Projects in this path
8 Skills You Need to Become a Data Analyst
Learn the key skills required to get a job as a Data Analyst.Read Article
Data Engineer, Data Analyst, Data Scientist — What’s the Difference?
Learn which data role is right for you.Read Article
Do You Need a Certificate to Become a Data Analyst?
Find out if you need a certification to become a Data Analyst.Read Article
An Objective Comparison Between R vs Python for Data Analysis
Determine whether R or Python will work better for you.Read Article
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