This intermediate learning path is for people who want to build their understanding of data science with python and r through video explanations and independent practice.
Optional preparation: Free Simplilearn Course: Data Science Foundations and Statistics.
About this course
Learn data science with python and r with free video lessons from Simplilearn. Statistics, data-science libraries, analytical methods and applied data-science examples in Python and R. Study at your own pace in the WikiFree classroom.
Course at a glance
| Provider | Simplilearn |
|---|---|
| Platform | YouTube · Simplilearn |
| Access | Free Video |
| Level | Intermediate · WikiFree audience assessment |
| Language | English |
| Selected lessons | 88 |
| Video duration | 253h 32m · additional practice time is recommended |
| Format | Self-paced video learning |
| Details checked | 11 October 2026 |
What you’ll learn
- Explore statistics, data-science libraries, analytical methods and applied data-science examples in Python and R.
- Follow the selected explanations of Statistics, Feature Analysis and Data Projects.
- Connect concepts to lessons such as Natural Language Processing (NLP) Tutorial — Data Science Tutorial.
- Practise independently: Choose a public dataset, state a question, explore the variables and document one analysis with its limitations.
Skills you’ll gain
- Statistics
- Feature Analysis
- Data Projects
Course Overview
Statistics, data-science libraries, analytical methods and applied data-science examples in Python and R. The classroom brings together 88 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 Science In 5 Minutes — Data Science For Beginners — What Is Data Science?
- Natural Language Processing (NLP) Tutorial — Data Science Tutorial
- Top 10 Reasons to Learn Data Science in 2026 — Why Learn Data Science? — Data Science
- Types of Statistical Tests — Parametric Test and Non Parametric Test
- UV Python Tutorial 2026 — UV Python Crash Course 2026 — UV Python Project Tutorial
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.
Unavailable recordings are listed in Course content. Known lesson titles are retained; when the source hides a title or position, this is stated explicitly. Unavailable videos are not included in the video duration.
Who is this for?
This intermediate learning path is for people who want to build their understanding of data science with python and r through video explanations and independent practice.
Basic Python or R and introductory statistics are recommended.
Put the lessons into practice
Choose a public dataset, state a question, explore the variables and document one analysis with its limitations.
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
- Review a lower-level optionFree Simplilearn Course: Data Science Foundations and Statistics
Focus: Data Lifecycle · Model Basics
Beginner - Compare another approachFree MIT Course: Computational Thinking and Data Science with Python
Focus: 1. Introduction, Optimization Problems · 4. Stochastic Thinking
Intermediate - Review a lower-level optionFree Simplilearn Course: R Programming and Statistical Data Analysis
Focus: R Basics · Data Import
Beginner - Compare another approachFree Python Data Tools Course: Jupyter and Anaconda
Focus: Python data tools · Jupyter notebooks
Intermediate
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — 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 MIT Course: Computational Thinking and Data Science with Python | Intermediate | 1. Introduction, Optimization Problems · 4. Stochastic Thinking · 8. Sampling and Standard Error | 12h 9m of video; practice time is additional |
| 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 Python Data Tools Course: Jupyter and Anaconda | Intermediate | Python data tools · Jupyter notebooks · Anaconda | 2h 32m 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 Python or R and introductory statistics are recommended.
How long does the course take?
The selected videos total 253h 32m. 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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