Comprehensive Certificate in Statistics
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University-benchmarked study of probability, inference, regression, experiments, sampling, stochastic processes, time series, causal reasoning, computing and decision
University Curriculum Benchmark: UC Berkeley Statistics | Harvard Statistics
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Enrichment
- Linear algebra / calculus + statistical computing — ML Mathematics
- Probability & random variables — Statistics & Probability
- Statistical inference & uncertainty — Confidence Intervals bridge
- Regression & statistical modeling — Regression bridge
- Experimental design + causal inference — Design of Experiments bridge
- Bayesian + stochastic / time-series depth — Bayes Theorem bridge
INTERMEDIATE CORE
Bridge Topics
ADVANCED / SPECIALIZATION
Bridge Topics
Integrative Capstone
Design a statistically defensible study from question to decision: sampling and measurement plan, exploratory analysis, inference/modeling, uncertainty, diagnostics, sensitivity checks, causal limitations and an executive-ready data story.
Evidence Standard
Publish the project, retain the artifacts, and write a concise reflection showing understanding, application and judgment.