Data Analysis With Statcast
5 units • 45 lessons
Construct reproducible data workflows from event-level baseball data.
- Confirm listed prerequisites for this track before starting.
- Self-paced. Phase length scales with lesson count; backend catalog stores per-lesson minute estimates for dashboard scale.
- Python or notebook workflow
- Engineer and validate features without leakage.
Before you open a unit
- Confirm listed prerequisites for this track before starting.
- This phase: open and complete all 10 linked lessons; pass each lesson's Final Mastery Checkpoint when present before marking complete.
- Data QA audits
Unit 1: Statcast Schema And Data Cleaning
10 lessons
Confirm listed prerequisites for this track before starting.
Self-paced. Phase length scales with lesson count; backend catalog stores per-lesson minute estimates for dashboard scale.
Unit 2: Feature Engineering For Ball Flight And HR Outcomes
10 lessons
Prior phase: all 10 lesson(s) completed with checkpoints passed where the lesson includes them.
Self-paced. Phase length scales with lesson count; backend catalog stores per-lesson minute estimates for dashboard scale.
Unit 3: Visualization Design For Baseball Questions
8 lessons
Prior phase: all 10 lesson(s) completed with checkpoints passed where the lesson includes them.
Self-paced. Phase length scales with lesson count; backend catalog stores per-lesson minute estimates for dashboard scale.
Unit 4: Reproducible Pipelines And Notebooks
9 lessons
Prior phase: all 8 lesson(s) completed with checkpoints passed where the lesson includes them.
Self-paced. Phase length scales with lesson count; backend catalog stores per-lesson minute estimates for dashboard scale.
Unit 5: Applied Projects — Recreating Deadball Tracker Figures
8 lessons
Prior phase: all 9 lesson(s) completed with checkpoints passed where the lesson includes them.
Self-paced. Phase length scales with lesson count; backend catalog stores per-lesson minute estimates for dashboard scale.