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Statistics and Data Science

Statistics and Data Science (General Track)

Statistics and Data Science (Methods Track)

Statistics and Data Science (Social Sciences Track)

Statistics and Data Science (Time Series and Social Sciences Track)

Lecture 1: Introduction to Statistics

Lecture 17: Bayesian Statistics

Lecture 2: Introduction to Statistics (cont.)

Lecture 18: Bayesian Statistics (cont.)

Fundamentals of Statistics

Lecture 12: Classical Statistical Mechanics Part 1

Lecture 20: Quantum Statistical Mechanics Part 1

Lecture 13: Classical Statistical Mechanics Part 2

Lecture 21: Quantum Statistical Mechanics Part 2

Lecture 14: Classical Statistical Mechanics Part 3

Lecture 3: Parametric Inference

Lecture 19: Principal Component Analysis

Lecture 8: Parametric Hypothesis Testing (cont.)

Lecture 6: Maximum Likelihood Estimation (cont.) and the Method of Moments

Lecture 11: Parametric Hypothesis Testing (cont.) and Testing Goodness of Fit