Analytics in Practice

Analytics in Practice turns analysis into action. You’ll learn how to go from messy data to decisions and shipped systems: forecasting & time-series, A/B testing & causal inference, dashboards & automation, and ML that survives production. Expect step-by-step builds in Python/SQL/Excel (and the occasional BI tool), case studies from finance/ops/marketing, and reusable templates you can apply the same day. We also cover tradeoffs—cost vs. accuracy, speed vs. rigor—and the “last mile” of deployment (APIs, MLOps, and analytics engineering).


analytics, data science, machine learning, Python, SQL, Excel automation, Power BI/Tableau, forecasting, time series, causal inference, A/B testing, optimization, MLOps, dashboards, data engineering, finance analytics, operations analytics, etc., etc., etc.