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Stanford R Programming Free Course 2025
Learn R programming from scratch with Stanford’s free online course!
Opportunity type:
Free Online Courses
Funding Type:
Free
Regions:
USA
Opportunity type:
Free Online Courses
Funding Type:
Free
Regions:
USA
Stanford University is offering a free R Programming course online in 2025, making it easier for anyone interested in data analysis and statistics to gain foundational programming skills. Hosted on the edX platform, this self-paced course introduces participants to R, a powerful open-source programming language widely used in statistical computing, data science, and academic research.
This course is designed as a beginner-friendly introduction, meaning no prior programming experience is necessary. The curriculum takes learners through the process of installing R, managing data structures like vectors, data frames, and lists, and importing/exporting datasets. It also covers basic data manipulation, missing value handling, and visualization techniques using popular tools like ggplot2. Participants will also get familiar with custom functions and R packages for specialized tasks.
Program Benefits
- 100% free access via audit track
- Flexible learning: study at your own pace, from anywhere
- Learn directly from Stanford instructors and industry experts
- No prerequisites or technical background needed
- Option to earn a verified certificate for a small fee
- Practical learning with real-world programming examples
- Gain valuable skills for data science, analytics, and research
- You can revisit course materials anytime, even after completion
Course Topics Covered
- Installing and setting up R and RStudio
- Understanding data types and objects in R
- Using vectors, lists, data frames, and matrices
- Reading external datasets and saving output
- Writing and using functions
- Data cleaning and handling missing values
- Basic data visualization with ggplot2
- Using packages to extend functionality in R
Application Process
To enroll in the Stanford R Programming course:
- Visit the official course page:
- Click “Enroll” and choose the audit track to access the course for free
- Create an edX account (if you don’t already have one)
- Begin learning immediately (self-paced and flexible)
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