Probability - The Science of Uncertainty and Data

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

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