Mathematics

Data Analysis: Statistical Modeling and Computation in Applications -

Machine Learning with Python: from Linear Models to Deep Learning

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

Introduction to Computational Thinking and Data Science

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