Probability - The Science of Uncertainty and Data
Massachusetts Institute of Technology via MITx Online
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Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Part of the MITx MicroMasters program in Statistics and Data Science.
Syllabus
- The basic structure and elements of probabilistic models
- Random variables, their distributions, means, and variances
- Probabilistic calculations
- Inference methods
- Laws of large numbers and their applications
- Random processes
Taught by
Karene Chu, John Tsitsiklis, Patrick Jaillet, and Dimitri Bertsekas