intermediateCertificate$300
Probability - The Science of Uncertainty and Data
by John Tsitsiklis · edX
4.7(2,500 reviews)
80K+ enrolled16 weeksUpdated 2025-01
What You'll Learn
Understand the fundamentals and key concepts of probability
Apply probability techniques to solve real-world problems
Understand the fundamentals and key concepts of statistics
Apply statistics techniques to solve real-world problems
Understand the fundamentals and key concepts of Bayesian inference
Apply Bayesian inference techniques to solve real-world problems
About This Course
MIT course covering probability distributions, Bayesian inference, Markov chains, and limit theorems for data science.
Curriculum
Module 1: Probability & Statistics6 lessons
- Introduction to probability
- Probability in Practice
- Hands-on Exercise: Probability
- Introduction to statistics
- Statistics in Practice
- Hands-on Exercise: Statistics
Module 2: Bayesian inference & Markov chains6 lessons
- Introduction to Bayesian inference
- Bayesian inference in Practice
- Hands-on Exercise: Bayesian inference
- Introduction to Markov chains
- Markov chains in Practice
- Hands-on Exercise: Markov chains
Module 3: Data science3 lessons
- Introduction to data science
- Data science in Practice
- Hands-on Exercise: Data science
Instructor
John Tsitsiklis
Instructor at edX
Pros & Cons
Pros
- Highly rated by students
- Offers a certificate of completion
- High-quality video lectures
- Taught by John Tsitsiklis
Cons
- Requires paid subscription
- Self-paced requires discipline
$300
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