Mathematics

Data Analysis: Statistical Modeling and Computation in Applications

Machine Learning with Python: from Linear Models to Deep Learning.

Multivariable Calculus 3: Theorems and Applications

Differential Equations

Mathematics for Computer Science

Linear Algebra

Calculus 1B: Integration

Introduction to Probability and Statistics

Graph Theory and Additive Combinatorics

Data Analysis for Social Scientists

Introduction to Probability and Statistics

Differential Calculus

Statistical Mechanics I: Statistical Mechanics of Particles

Algorithms for Inference

Advanced Stochastic Processes

Matrix Calculus for Machine Learning and Beyond

Probabilistic Systems Analysis and Applied Probability

Linear Partial Differential Equations: Analysis and Numerics

Information Theory

Discrete Stochastic Processes