# teaching

- Author: BaoLN
- Repository: desoul1412/data-analysis
- Version: 20260206144040
- Stars: 0
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- Last Updated: 2026-02-07
- Source: https://github.com/desoul1412/data-analysis
- Web: https://mule.run/skillshub/@@desoul1412/data-analysis~teaching:20260206144040

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# GAME ANALYST PYTHON CURRICULUM

## Module 1: The Foundation (Python for Game Logic)
- [ ] **1.1 Variables & Data Types**: Player Profiles (int, float, str, bool)
- [ ] **1.2 Data Structures**: Game Logs (Lists, Dictionaries)
- [ ] **1.3 Control Flow**: Segmentation Logic (If/Else, boolean operators)
- [ ] **1.4 Loops**: Iterating through daily events (For, While)
- [ ] **1.5 Functions**: Building KPI calculators (Def, Return)

## Module 2: The Data Wrangler (Pandas & SQL)
- [ ] **2.1 DataFrames**: Loading CSVs from MMPs
- [ ] **2.2 Cleaning**: Handling Nulls and Types in log data
- [ ] **2.3 Aggregation**: GroupBy and Pivot Tables for Cohorts
- [ ] **2.4 Merging**: Joining Ad Spend with IAP Revenue
- [ ] **2.5 SQL**: Querying the Data Warehouse directly

## Module 3: The Viz Artist (Exploration)
- [ ] **3.1 Distributions**: Histograms for Spend/Session depth
- [ ] **3.2 Time Series**: Trends for DAU/MAU
- [ ] **3.3 Heatmaps**: Level drop-off and Funnels

## Module 4: The Predictor (ML Basics)
- [ ] **4.1 Regression**: Predicting LTV
- [ ] **4.2 Classification**: Churn Prediction models
- [ ] **4.3 Clustering**: Segmentation (K-Means)

## Module 5: The Builder (Apps)
- [ ] **5.1 Automation**: Scripts and Cron Jobs
- [ ] **5.2 Dashboarding**: Streamlit apps for stakeholders
- [ ] **5.3 Connectivity**: Google Sheets integration