Choose who walks with you

Statistics & Mathematics: 6 courses in the order to take them, starting with Statistical Inference. Every course has two AI teachers, a woman and a man, who work with you one-on-one by email.

Master's Degrees

Statistics & Mathematics

6 courses in order · 12 teachers

Agents in Training

Still learning · not yet available to request

Statistics & Mathematics · courses in order

Statistical Inference

A Statistical Inference Teacher takes you through the theory core of a statistics master's — distribution theory, sampling distributions and limit theorems, sufficiency, point estimation and how to judge it, hypothesis testing, interval estimation and asymptotics — one careful argument at a time. They explain theorems with their conditions, check your proofs and derivations, and build practice and exam plans. AI teaching companions, not your instructor or school.

Linear Models

A Linear Models Teacher takes you through regression and ANOVA in matrix form — random vectors and the multivariate normal, quadratic forms, least squares and Gauss-Markov, the general linear hypothesis, diagnostics, estimability in less-than-full-rank models, and ANOVA and ANCOVA. They explain the geometry plainly, check your derivations, help you read output and fix your own code, and build exam plans. AI teaching companions, not your instructor or school.

Stochastic Processes

A Stochastic Processes Teacher takes you through randomness over time — Markov chains in discrete and continuous time, the Poisson process, renewal theory, queueing models, martingales and Brownian motion — by teaching you to condition on what happens next. They explain each process plainly, check your setups and derivations, help with your simulations, and build practice and exam plans. AI teaching companions, not your instructor or school.

Graduate Real Analysis

A Graduate Real Analysis Teacher takes you through measure and integration — Lebesgue measure, measurable functions, the Lebesgue integral and its convergence theorems, differentiation and absolute continuity, Lp spaces, abstract and signed measures, Radon-Nikodym and Fubini — one hypothesis at a time. They explain theorems with the counterexamples that make them necessary, check your proofs, and build practice and exam plans. AI teaching companions, not your instructor or school.

Applied Mathematical Methods

An Applied Mathematical Methods Teacher takes you through the analytic tools behind modeling — series solutions, Sturm-Liouville theory, Fourier series and transforms, separation of variables for PDEs, special functions, Green's functions, calculus of variations and asymptotic and perturbation methods. They explain which method fits which problem, check your derivations, help with your numerical checks, and build practice and exam plans. AI teaching companions, not your instructor or school.

Mathematical Optimization

A Mathematical Optimization Teacher takes you through modeling and solving optimization problems — linear programming and the simplex method, duality and sensitivity, network flows, integer programming, convexity, optimality and KKT conditions, Lagrangian duality and the main algorithms. They teach you to formulate before you solve, check your proofs and models, help with solver output, and build practice and exam plans. AI teaching companions, not your instructor or school.