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R Courses
These R courses teach the tidyverse, data cleaning, and ggplot2 for graphics through beginner-friendly projects. You’ll analyze real-world datasets to run statistical tests and create publication-quality charts.
1M+ learners
Hands-on projects
No credit card required
4.8
Recommended Path for Beginners
Start your r journey with these expert-curated learning paths.
Data Analyst (R)
Analyze, clean, and visualize data using R and SQL to perform end-to-end statistical analysis and communicate insights effectively.
23 courses
18 projects 91.8k
Probability and Statistics with R
Apply probability, sampling, and hypothesis testing in R to make confident, data-driven decisions with practice projects.
5 courses
5 projects 6.2k
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Explore All R Courses
Introduction to Data Analysis in R
Establish core R programming skills to analyze data by writing basic code, working with vectors, and performing calculations.
3 hours
47.7k
Data Structures in R
Manipulate core R data structures to store, index, and transform analysis-ready data using vectors, lists, matrices, and DataFrames.
6 hours
15.4k
Control Flow, Iteration, and Functions in R
Apply control flow, iteration, and functions in R to structure reusable workflows, reduce repetition, and handle complex data logic.
4 hours
13k
Specialized Data Processing in R
Transform text, dates, and times in R by applying string operations, date-time tools, and functional mapping to support real analysis workflows.
4 hours
6.6k
Introduction to Data Visualization in R
Create clear, insightful data visualizations in R using ggplot2 to explore trends, compare groups, and communicate findings effectively.
5 hours
8.4k
Linear Regression Modeling in Python
Model and interpret relationships between variables by constructing, evaluating, and applying linear regression for inference and prediction.
4 hours
3.5k
Logistic Regression Modeling in Python
Classify and interpret categorical outcomes by constructing, evaluating, and applying logistic regression models for inference and prediction.
4 hours
2.8k
Learn R Courses by Building Projects
Apply your skills to real-world scenarios with these guided projects
Project
Free
Predicting Condominium Sale Prices
For this project, you’ll assume the role of a data analyst to predict condominium sale prices in New York City boroughs based on property size, using linear regression modeling in R.
8 Steps
Project
Free
NYC Schools Perceptions
For this project, you’ll assume the role of a data analyst exploring survey data on parent, teacher, and student perceptions of NYC school quality. You’ll clean, analyze, and visualize the data using R and showcase your work in an R Notebook.
3 Steps
Project
Free
Investigative Statistical Analysis – Analyzing Accuracy in Data Presentation
For this project, you’ll be a data journalist analyzing Fandango’s movie ratings to determine if there was any change after a 2015 analysis found evidence of bias. You’ll use R and statistics skills to compare movie ratings data from 2015 and 2016.
8 Steps
Project
Free
Investigating COVID-19 Virus Trends
For this project, you’ll act as a data scientist analyzing a real-world COVID-19 dataset using R. You’ll leverage packages like dplyr and ggplot2 to identify the most affected countries and quantify testing efforts.
11 Steps
Frequently Asked Questions
How do you choose the right R course for your goals?
Choose an R programming course based on how you plan to use R. If your goal is academic research, statistical analysis, or data science work, prioritize courses that focus on statistical computing and real-world data workflows.
Look for a course that teaches modern R programming using the Tidyverse, core R functions, and reproducible tools like R Markdown. Courses that include real exercises and projects help you build practical R skills instead of just learning syntax.
What is R?
R is a programming language designed for statistical computing, data analysis, and data visualization. It is widely used by statisticians, data analysts, and data scientists to perform analysis and build statistical models.
R includes a large ecosystem of packages, including tools like ggplot2 for creating clear and informative graphics. Dataquest teaches practical R programming skills so you can analyze data and apply R to real projects.
Is R hard to learn?
Learning R is not inherently hard, but its syntax differs from that of many other programming languages, which can feel unfamiliar at first. With guided, hands-on practice, beginners can grasp R quickly. Dataquest’s step-by-step interactive lessons help you learn to use it effectively for data analysis.
What are the best R courses online?
The best R courses get you coding right away while teaching practical data analysis and visualization skills. Look for courses that use real datasets, emphasize hands-on projects, and teach workflows that mirror how data analysts work in the real world. Dataquest stands out by providing a fully configured R environment in your browser, allowing you to practice analysis and visualization immediately without any complex software setup.
Are R skills still in demand?
Yes. R skills are particularly valued in academia, healthcare, finance, and research. While Python is more broadly used, R remains the gold standard for advanced statistical analysis. Dataquest helps you build these skills and prepares you for specialized roles in these fields.
What jobs can you get as an R programmer?
With R skills, you can pursue roles such as:
- Data Analyst
- Statistician
- Data Scientist
- Quantitative Analyst
- Research Scientist
Dataquest helps you build the specific R skills needed for research-heavy data careers.
Which programming language should I learn first: R or Python?
If your focus is machine learning and general coding, learn Python first. If your focus is statistics-heavy work and academic research, learn R first. Dataquest offers paths for both, and many professionals eventually learn both.
Can you learn R without a programming background?
Yes, you can learn R even if you’ve never programmed before. Dataquest’s beginner-friendly R courses teach programming fundamentals alongside statistics and data analysis, so you build practical skills step by step while working with real-world datasets.
What tools are commonly used with R?
Common tools for R include RStudio, the Tidyverse collection of packages (like dplyr and ggplot2), and Shiny for interactive apps. Dataquest teaches these modern tools so you gain the practical, up-to-date skills used in data roles.
What is the best way to learn R fast?
The fastest way to learn R is by working with real data. Dataquest’s project-based curriculum lets you clean, analyze, and visualize interesting datasets from day one, helping you retain skills more effectively than learning theory alone.
Can you learn R in 3 months?
Yes, most students can learn core R concepts and become comfortable with data analysis in about three months with consistent practice.
To reach proficiency and work on real analysis tasks, expect closer to three to six months. Dataquest’s guided paths help students stay focused on key concepts and build practical R skills needed for job readiness.
How much do R courses cost?
Costs vary widely, from free introductory courses to monthly subscriptions on learning platforms to university programs costing thousands.
Dataquest offers an affordable subscription with full access to all data science, analytics, engineering, and AI courses. It also includes free lessons and a 14-day money-back guarantee, so you can start learning risk-free.
Will you get a certificate, and does it help you stand out?
Yes, you earn a certificate for each online course you complete, including R specialization courses.
However, certificates alone rarely help you stand out. A portfolio of R visualizations, data analysis projects, and statistical analysis work shows employers how you apply R skills in real scenarios, which is far more valuable when applying for jobs.