This beginner learning path is for people who want to build their understanding of data science foundations and statistics through video explanations and independent practice.
About this course
Learn data science foundations and statistics with free video lessons from Simplilearn. The data-science lifecycle, distributions, Bayes theorem and introductory classification and regression ideas. 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 | 23 |
| Video duration | 34h 12m · additional practice time is recommended |
| Format | Self-paced video learning |
| Details checked | 11 October 2026 |
What you’ll learn
- Explore the data-science lifecycle, distributions, Bayes theorem and introductory classification and regression ideas.
- Follow the selected explanations of Data Lifecycle, Statistics and Model Basics.
- Connect concepts to lessons such as Lesson – 6 — Statistic for Data Science.
- Practise independently: Explain the lifecycle of a data-science project and compare classification with regression using two examples.
Skills you’ll gain
- Data Lifecycle
- Statistics
- Model Basics
Course Overview
The data-science lifecycle, distributions, Bayes theorem and introductory classification and regression ideas. The classroom brings together 23 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:
- Lesson – 1 — Introduction to Data Science Course
- Lesson – 6 — Statistic for Data Science
- Lesson – 12 — Regression Analysis, linear regression, logistic regression
- Lesson – 17 — K Means Clustering Algorithm
- Lesson – 22 — Data Science Interview Question
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 data science foundations and statistics through video explanations and independent practice.
Basic algebra helps; this is an introductory conceptual learning path.
Put the lessons into practice
Explain the lifecycle of a data-science project and compare classification with regression using two examples.
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: Feature Analysis · Data Projects
Intermediate - Explore a higher-level optionScaling Data Science with Agents: Free Google Course
Focus: Agent-assisted analysis concepts · Context–Task–Constraints prompting
Intermediate - Explore a higher-level optionFree MIT Course: Computational Thinking and Data Science with Python
Focus: 1. Introduction, Optimization Problems · 4. Stochastic Thinking
Intermediate
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — 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: Data Science with Python and R | Intermediate | Statistics · Feature Analysis · Data Projects | 253h 32m of video; practice time is additional |
| Scaling Data Science with Agents: Free Google Course | Intermediate | Agent-assisted analysis concepts · Context–Task–Constraints prompting · Analytical task framing | 1 hour 30 minutes; official estimate, individual study time varies. |
| 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 |
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 helps; this is an introductory conceptual learning path.
How long does the course take?
The selected videos total 34h 12m. 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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