R
R is a free 4-week beginner course teaching the language built for statistics, data analysis, and visualization: vectors, data frames, dplyr wrangling, hypothesis testing, and ggplot2 charts. Learners practice reproducible workflows with R Markdown and purrr, aimed at anyone doing statistical analysis or research-driven data work.
Learn R — the language built for statistics, data analysis, and visualization.
What you'll learn
Course details
Duration
4 weeks
Best for
Anyone doing statistical analysis or research-driven data work
This course is free
Course Curriculum
A module-by-module breakdown of what you'll cover in R.
01Basic
4 topicsWeek 1
- What Is R, and Why Do Statisticians and Data Scientists Use It?
- Data Frames: R's Structure for Tabular Data
- Descriptive Statistics and Basic Visualization in R
- Project: Exploratory Analysis of a Small Dataset
02Intermediate
4 topicsWeek 2
- Data Wrangling with dplyr: filter, select, mutate, group_by, summarize
- Hypothesis Testing: t-tests and Understanding p-values
- Linear Regression: Modeling Relationships Between Variables
- Project: Wrangle, Test, and Model a Realistic Dataset
03Advanced
8 topicsWeek 3
- Validate data before trusting the report
- Understand vectorized operations, recycling and missing values
- Treat a data frame as typed columns with a documented grain
- Fit models with interpretable formulas and diagnostics
- Interpret uncertainty without turning it into certainty
- Choose visual encodings that match the comparison
- Test outcomes at the boundary where they can fail
- Package a reproducible release and a recovery path
04Pro
4 topicsWeek 3
- Reproducible Reports with R Markdown
- Functional Programming with purrr: Applying Functions Across Many Elements
- Building and Documenting Your Own R Package
- Project: Package a Reproducible Analysis Pipeline
05AI Pro
3 topicsWeek 4
- Using Claude, ChatGPT, and Perplexity for R Data Analysis and Statistical Interpretation
- Verifying AI-Suggested Statistical Methods and R Code Before Trusting Them
- Project: AI-Assisted Statistical Analysis with Verification
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Career & Placement Support
100% of students enrolled in R get full access to placement support — real tools and guidance, not just a promise. This is support and access, not a guaranteed job outcome.
Resume Builder
A resume auto-built from your real completed projects and certificates, ready to export.
Shareable Portfolio
A public portfolio page showcasing your approved projects, with a link you can share with employers.
Interview Preparation
Guidance on presenting your projects and experience clearly in real interviews.
Peer & Mentor Community
Ongoing access to our learner community for questions, feedback, and support after you finish.
What Your Certificates Look Like
Real, verifiable certificates with your name, R, and a QR code anyone can scan to confirm they're genuine — one for completing the course, and a separate one if you take the internship track. Earning a certificate is free. To view, download and share it, there's a one-time ₹100 release fee per certificate — the same for free-course, paid-course and internship certificates.
Course Completion Certificate
Data24ZoneCertificate of Completion · Free Course
Illustrative recipient
Your Name Here
Example certificate for completion of
R
- Certificate No.
- D24-SAMPLE
- Mode
- Self-Paced
- Duration
- 4 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Internship Completion Certificate
Data24ZoneCertificate of Internship
Illustrative recipient
Your Name Here
Example certificate for completion of
R
- Certificate No.
- D24-SAMPLE
- Mode
- Internship
- Duration
- 4 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Frequently Asked Questions
What will I learn in the R course?
You'll learn: R syntax, vectors, and data frames; Statistical analysis and hypothesis testing basics; Data visualization with ggplot2; Reproducible analysis workflows.
What tools and technologies does the R course cover?
This course covers: R, RStudio, ChatGPT, Claude, Perplexity.
Is the R course beginner-friendly?
Yes — this is a beginner-level course.
How long does the R course take to complete?
The course is designed to be completed in approximately 4 weeks, depending on your pace.
What enrollment options are available for R?
Project Training Track (₹1,499) — One defined learning project and 2 review sessions; no employment or stipend included. Self-Paced (₹1,999) — Learn anytime with the full recorded curriculum and community access.
Is there an internship option for R?
Yes — the Internship track means working through real projects with our team and earning a separate Internship Certificate.
Will I get a certificate after completing R?
Yes. Self-paced enrollment earns a course completion certificate once your final project is reviewed and approved. Internship enrollment earns an internship certificate once your internship projects are approved. Every certificate is publicly verifiable on our website and can be added directly to your LinkedIn profile. Earning it is free; releasing it to view, download and share is a one-time ₹100 fee per certificate.
Is placement support included with R?
Yes — every enrolled student gets full access to our placement support: resume building, a shareable project portfolio, mock interview preparation, and guidance applying what you've built to real job applications. This is support and access, not a guaranteed job outcome — how quickly it leads to an offer depends on the market and your own effort.
