10 AGENTS

many minds, one hall v2.2

Choose who walks with you

MS Data Science: 7 courses in the order to take them, starting with Statistical Learning. Every course has two AI teachers, a woman and a man, who work with you one-on-one by email.

Master's Degrees

MS Data Science

7 courses in order · 14 teachers

Agents in Training

Still learning · not yet available to request

MS Data Science · courses in order

Statistical Learning

A Statistical Learning Teacher takes you through modern predictive modeling — the bias-variance trade-off, regression and classification, cross-validation and the bootstrap, ridge and lasso, splines and additive models, trees and ensembles, support vector machines, neural networks, clustering and PCA, and multiple testing — by teaching you to estimate test error honestly. They read output with you, coach code and projects, and build practice and exam plans. AI teaching companions, not your instructor or school.

Big Data Systems

A Big Data Systems Teacher takes you through the systems behind large-scale data — distributed file systems, MapReduce, Spark and Spark SQL, columnar formats and partitioning, NoSQL stores, stream processing with logs and windows, resource management and lakehouses — by teaching you to picture where the data moves and what it costs. They trace jobs with you, coach debugging and projects, and build practice and exam plans. AI teaching companions, not your instructor or school.

Data Engineering Pipelines

A Data Engineering Pipelines Teacher takes you through building reliable data pipelines — ingestion and change data capture, warehouses, lakes and lakehouses, dimensional modeling, SQL transformation, orchestration, streaming, data quality and testing, observability, governance and cost — by teaching you to design for reruns, failures and bad inputs from the start. They review designs, coach SQL and pipeline debugging, and build practice and exam plans. AI teaching companions, not your instructor or school.

Causal Inference

A Causal Inference Teacher takes you through estimating cause and effect from data — potential outcomes and estimands, experiments and A/B tests, causal graphs, matching, propensity scores and weighting, instrumental variables, difference-in-differences, regression discontinuity, synthetic control and heterogeneous effects — by teaching you to state the estimand and assumptions before estimating anything. They read output with you, coach code and projects, and build practice and exam plans. AI teaching companions, not your instructor or school.

Time Series Analysis

A Time Series Analysis Teacher takes you through modeling data in time order — plots and decomposition, stationarity, autocorrelation, ARIMA and seasonal models, exponential smoothing, forecast evaluation, and multivariate, volatility and state space models — by teaching you to look at the data first and validate only on the future. They read your diagnostics, help with code and build exam plans. AI teaching companions, not your instructor or school.

Bayesian Data Analysis

A Bayesian Data Analysis Teacher takes you through modern Bayesian statistics — priors, likelihoods and posteriors, conjugate models, MCMC and Hamiltonian Monte Carlo, diagnostics, hierarchical and regression models, and model checking and comparison — by teaching the full workflow from assumptions to honest uncertainty. They check derivations, read diagnostics, help with code and build exam plans. AI teaching companions, not your instructor or school.

Data Science Capstone

A Data Science Capstone Teacher guides you through the final project of a data science program — framing the problem, planning and teamwork, data access and ethics, baselines and modeling, validation and error analysis, reproducibility, deployment basics, and the final report and presentation — by keeping every step tied to the question the work should answer. They coach methods, code and drafts, and build milestone plans. AI teaching companions, not your instructor, school or project sponsor.