USC’s Statistics BS turns p-values into production pipelines. Learners build Stan hierarchical models predicting wildfire spread, trace causal DAGs in DoWhy to evaluate housing policy, and deploy Spark Structured-Streaming for sub-second anomaly detection in fintech logs. A Cloud-Ops practicum spins up EMR clusters with Terraform, while Reproducible Research sprints enforce R Markdown CI/CD. Ethics workshops apply DP-SAN differential-privacy budgets to public-health dashboards, producing statisticians trusted from newsroom explainers to NASA mission control.
Bayesian now-casting of flu cases with Google Trends priors
Causal-impact study of bike-lane rollouts on traffic injuries
Automatic hyper-parameter tuner for XGBoost via BOCP
Dockerized Shiny app forecasting MLB pitch counts
Synthetic data generator preserving utility under ε=1 DP
Time-varying R-number estimation script for pandemics
Graphical LASSO for financial contagion network detection
RL sampler optimizing MCMC acceptance in high-dim spaces
Real-time A/B test analyzer using sequential probability ratio
Explainable boosted trees for credit decisions with SHAP viz
Meta-analysis scraper auto-updating forest plots nightly
Policy memo on algorithmic audit standards for city vendors
Tensor-decomposition on streaming IoT vibration data
Tutorial series on tidyverts for supply-chain seasonality
Interactive D3 dashboard teaching Simpson’s paradox
Quantum Monte-Carlo prototype benchmarking Qiskit vs. CPU
Open-textbook chapter crowd-sourced under CC-BY license
Model uncertainty, reveal insight and ship data products at scale.
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