Track 03Foundation
3 modules · 2 labs

Data Science Foundations & Feature Engineering

Clean and preprocess data reproducibly, build feature extraction pipelines, and manage feature definitions consistently.

Assumes: Python and introductory data science concepts.

Modules

  1. Reproducible Data Preprocessing & Pipeline Building
  2. Automated Feature Engineering
  3. Introduction to Feature Stores

Tools

  • Pandas
  • Scikit-Learn
  • NumPy
  • Linux
  • Bash

Lab work

Bash and Linux commands for data file handling, automated preprocessing scripts, and validation checks.

 

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Data Science Foundations & Feature Engineering