01Published
Causal Inference for Decision Makers
From correlation to causation. PSM, diff-in-diff, synthetic control and uplift modeling — applied to real marketing campaigns.
PSMDiDSynthetic ControlUplift / T-learner
Intermediate8 modules · ~12h
Tutorials · Curious Machine
Learn the craft of data-driven decisions.
Practical, opinionated tutorials on causal inference, recommendation systems, experimentation and production ML — distilled from real campaigns serving millions of customers.
6
Tracks
48+
Modules
80+
Hours
8000+
Learners
Curriculum
Choose your track.
Each track is a self-contained learning path. Mix and match to build the skills you need for your next role or campaign.
02In progress
Recommendation Systems in Production
Sequential transformers, multi-armed bandits and Next-Best-Action systems — designed, trained and shipped end-to-end.
TransformerThompson SamplingLinUCBNBA
Advanced10 modules · ~18h
03Planned
Bayesian MMM with Google Meridian
Marketing Mix Modeling for omni-channel budget allocation: priors, adstock, saturation, validation and rollout playbook.
BayesianAdstockSaturationMeridian
Intermediate6 modules · ~9h
04Planned
LLM Engineering Foundations
From prompts to production: prompt design, RAG, evaluation, caching and cost-aware deployment of LLM-powered features.
PromptingRAGEvaluationCaching
Beginner5 modules · ~7h
05Planned
Experimentation at Scale
A/B/n testing in production: power analysis, peeking, sequential tests, CUPED, and how to handle SUTVA violations.
A/B/nPowerCUPEDSequential
Intermediate7 modules · ~10h
06Planned
Full-Stack Data Science
An end-to-end track that mirrors the FSDS course: data → modeling → experimentation → MLOps → product impact.
PipelineMLOpsSparkAirflow
Advanced12 modules · ~24h
Want a track tailored to your team?
Curious Machine partners with companies on custom curricula — in-house workshops, mentorship cohorts and applied projects.