Introduction to Probability: Part II – Inference & Processes Course
by EDX
MIT's advanced probability course covers Bayesian inference, laws of large numbers, and random processes. Free to audit on edX.
Why this course
- Comprehensive coverage of Bayesian and classical inference methods
- High-quality instruction from MIT faculty with deep theoretical insight
- Covers essential random process models used in real-world applications
- Strong preparation for advanced studies in statistics and data science
