Week 10
Real Project I — Weather and IPL
Applied analytics with local weather and sports datasets.
Learning goals
- Weather trend analysis
- Rolling averages
- Simple forecasts with caution
- IPL filtering and player summaries
- Project storytelling
Suggested classroom flow
| Session | Focus | Output |
|---|---|---|
| Day 1 | Concept introduction and guided examples | Notebook or script |
| Day 2 | Hands-on lab and teacher walkthrough | Working code |
| Day 3 | Practice tasks and discussion | Assignment draft |
| Day 4 | Assessment and mini project | Submission |
Mini project
Varanasi Weather + IPL Insights
Outcome for the week: students should finish with usable code, a short explanation, and at least one visual or result artifact.
Quick MCQ preview
Q1. A rolling average is useful for?
Explanation: Rolling averages help smooth trends.
Q2. Grouped statistics in pandas often use?
Explanation: groupby is the standard method.
Q3. Project storytelling means?
Explanation: Clear communication is part of data work.