Course · Interactive

Data Science Advanced

Production-style data science — feature engineering, advanced pandas, time series, JSON/API patterns, data quality, and KPI reporting across 32 lessons and 274+ drills.

Who it's for

Learners who completed Data Science Intermediate and want production-style EDA pipelines before Machine Learning.

What you'll learn

  • Engineer features for modeling (encoding, scaling, datetime, text)
  • Use query, apply, pipe, and multi-index patterns
  • Build rolling and lag features for time series baselines
  • Normalize JSON and nested API records
  • Validate data quality and optimize memory
  • Deliver KPI dashboards, A/B test EDA, and RFM segmentation
  • Complete capstones and bridge to Machine Learning

Course contents

  1. 01Reproducible analyst workflow
  2. 02Feature engineering for ML-ready tables
  3. 03Advanced pandas query, apply, pipe
  4. 04Time series lags, rolling, naive forecast
  5. 05JSON normalize & API patterns
  6. 06Data quality, assertions, chunking
  7. 07Storytelling, KPIs, A/B tests, RFM
  8. 08Shop BI, academy, forecast capstones + ML bridge