This beginner learning path is for people who want to build their understanding of r programming and statistical data analysis through video explanations and independent practice.
About this course
Learn r programming and statistical data analysis with free video lessons from Simplilearn. R programming, importing data, analytical workflows, statistical examples and time-series concepts. Study at your own pace in the WikiFree classroom.
Course at a glance
| Provider | Simplilearn |
|---|---|
| Platform | YouTube · Simplilearn |
| Access | Free Video |
| Level | Beginner · WikiFree audience assessment |
| Language | English |
| Selected lessons | 39 |
| Video duration | 62h 53m · additional practice time is recommended |
| Format | Self-paced video learning |
| Details checked | 11 October 2026 |
What you’ll learn
- Explore r programming, importing data, analytical workflows, statistical examples and time-series concepts.
- Follow the selected explanations of R Basics, Data Import and Statistical Analysis.
- Connect concepts to lessons such as Linear Regression in R — Linear Regression in R With Example — Data Science Algorithms.
- Practise independently: Import a CSV into R, summarize two variables and create one labeled visualization.
Skills you’ll gain
- R Basics
- Data Import
- Statistical Analysis
Course Overview
R programming, importing data, analytical workflows, statistical examples and time-series concepts. The classroom brings together 39 selected learning videos from Simplilearn’s public YouTube course playlist. You can follow the sequence or use the lesson search to revisit a particular subject.
The selected curriculum includes the following lesson examples:
- Data Analytics Using R — Introduction To Data Analytics — Data Analytics For Beginners
- Linear Regression in R — Linear Regression in R With Example — Data Science Algorithms
- Introduction To Business Analytics With R — Data Science With R Training
- Data Science With R Tutorial — Lesson 4 – R Data Structures
- SQL Interview Questions And Answers — SQL Interview Questions For Freshers
Each course retains its relevant lessons, including videos also used in another course. Numbered series follow their original lesson or part order. Only reviewed advertisements, unrelated items and identical repeated playlist entries are excluded. Source recordings may have been made at different times.
Who is this for?
This beginner learning path is for people who want to build their understanding of r programming and statistical data analysis through video explanations and independent practice.
Basic algebra and spreadsheet familiarity help. R and an R development environment are useful for practice.
Put the lessons into practice
Import a CSV into R, summarize two variables and create one labeled visualization.
This is an optional WikiFree practice suggestion, not a graded assignment supplied by Simplilearn. Pause the videos when a concept is unfamiliar, keep notes and repeat a small example before moving on.
Certificate / Assessment
The public YouTube lessons are free to watch. This listing does not include a Simplilearn certificate, an accredited qualification, a provider-marked examination or instructor feedback. Separate Simplilearn programs can have their own enrollment and certificate requirements.
Mark complete is a personal progress tracker. It does not assess your answers or verify that you have mastered the lesson.
Related courses for your next step
- Explore a higher-level optionFree Simplilearn Course: Data Science with Python and R
Focus: Statistics · Feature Analysis
Intermediate - Compare another approachFree Simplilearn Course: Data Science Foundations and Statistics
Focus: Data Lifecycle · Statistics
Beginner - Add a related skillFree Simplilearn Course: MATLAB Programming and Data Analysis
Focus: Programming · PCA
Beginner
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free Simplilearn Course: R Programming and Statistical Data Analysis | Beginner | R Basics · Data Import · Statistical Analysis | 62h 53m of video; practice time is additional |
| Free Simplilearn Course: Data Science with Python and R | Intermediate | Statistics · Feature Analysis · Data Projects | 253h 32m of video; practice time is additional |
| Free Simplilearn Course: Data Science Foundations and Statistics | Beginner | Data Lifecycle · Statistics · Model Basics | 34h 12m of video; practice time is additional |
| Free Simplilearn Course: MATLAB Programming and Data Analysis | Beginner | Programming · PCA · Clustering | 3h 46m of video; practice time is additional |
Frequently asked questions
Is this Simplilearn course free?
Yes. The selected public YouTube videos can be watched for free. Any software, cloud service, hardware or separate certification mentioned in the videos has its own access conditions.
What should I know before starting?
Basic algebra and spreadsheet familiarity help. R and an R development environment are useful for practice.
How long does the course take?
The selected videos total 62h 53m. Your study time can be longer because of notes, repeated examples and independent practice.
Does watching the videos give me a certificate?
No certificate is included with this WikiFree YouTube listing. Watching videos or marking them complete does not earn a Simplilearn qualification.
Can I study on my phone?
Yes. Use the responsive video player and lesson list on a phone, tablet or computer. Programming, software and hardware exercises may be easier on an appropriate computer or device.
Are all demonstrations current?
The playlist includes recordings made at different times. Software interfaces, services and exam requirements can change; check the current official documentation when reproducing a demonstration.
Source: Simplilearn’s official YouTube course playlist.
Provider: Simplilearn. Videos play from the Simplilearn channel on YouTube.
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