Suggested preparation: Probability and calculus.
Optional preparation: Statistics Fundamentals: Free Course.
About this course
Develop statistical-inference methods through estimation, likelihood, goodness-of-fit testing and Bayesian reasoning. MIT lectures explain how assumptions connect observed data with conclusions about an underlying process.
Topics and lesson examples
- 1. Introduction to Statistics
- 6. Maximum Likelihood Estimation (cont.) and the Method of Moments
- 12. Testing Goodness of Fit (cont.)
- 18. Bayesian Statistics (cont.)
- 24. Generalized Linear Models (cont.)
Course at a glance
| Provider | MIT |
|---|---|
| Platform | YouTube · MIT OpenCourseWare |
| Access | Free Video |
| Level | Intermediate — WikiFree study-level assessment |
| Language | English |
| Available lessons | 22 |
| Video duration | 28h 0m · self-paced |
| Details checked | 10 October 2026 |
Preparation and study approach
Suggested preparation: Probability and calculus.
Follow the available videos in sequence, pausing to summarize the main argument or reconstruct a worked example. Keep a short list of assumptions, unfamiliar terms and questions to revisit. Additional reading, problem solving and practice will take time beyond the listed video duration.
Using this video classroom
Select a lesson from the list, or search for a topic. Previous and Next move through the sequence. You can mark lessons complete; progress is stored in this browser without a WikiFree account.
Free access and course scope
The public MIT OpenCourseWare videos in this classroom are free to watch. This listing provides the available playlist recordings, which may include selected lectures, recitations, demonstrations or supporting discussions rather than every component of the original campus course. Textbooks, equipment, software licenses, supervised labs, graded assignments and instructor feedback are not supplied by WikiFree. No purchase is required to watch the videos or use the note-based study approach above.
WikiFree independently organizes these resources for self-paced study. Watching does not award an MIT certificate, academic credit or admission to MIT.
Video provider and credit: MIT OpenCourseWare on YouTube. WikiFree titles, descriptions and cover artwork are independently prepared.
Related courses for your next step
- Review a lower-level optionStatistics Fundamentals: Free Course
Focus: Descriptive statistics · Probability
Beginner - Compare another approachStatistical Hypothesis Testing: Free Course
Focus: Hypothesis tests · P-values
Intermediate - Review a lower-level optionStatistics for Finance: Free Course
Focus: Data interpretation · Sampling awareness
Beginner
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free MIT Course: Applied Statistics and Statistical Inference | Intermediate | 1. Introduction to Statistics · 6. Maximum Likelihood Estimation (cont.) and the Method of Moments · 12. Testing Goodness of Fit (cont.) | 28h 0m of video; practice time is additional |
| Statistics Fundamentals: Free Course | Beginner | Descriptive statistics · Probability · Sampling | 2h 0m of video; practice time is additional |
| Statistical Hypothesis Testing: Free Course | Intermediate | Hypothesis tests · P-values · Statistical power | 2h 3m of video; practice time is additional |
| Statistics for Finance: Free Course | Beginner | Data interpretation · Sampling awareness · Statistical reasoning | 5h 9m of video; practice time is additional |
Provider: MIT. Videos play from the MIT OpenCourseWare channel on YouTube.
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