6-Month Data Scientist Course Roadmap

Months 1-3 Months 4-5

Month 6: Corporate-Grade Capstone Projects (12 Full-Scale Builds)

Wrap up with a sprint of end-to-end projects tackling real business needs—portfolio-ready evidence for job interviews.

Customer Lifetime Value Prediction: Build and deploy a model predicting high-value customers from transactional data.
Product Recommendation Engine: Implement collaborative filtering or content-based recommendations for e-commerce.
End-to-End A/B Testing Platform: Design, execute, analyze, and visualize business experiments.
Credit Risk Scoring Model: Deploy models to predict default with full EDA, feature selection, and reporting.
Time Series Forecasting Platform: Automate sales/demand forecasting with multiple models and scenario analysis.
Social Media Insights & Sentiment Analysis: Create an NLP-driven dashboard for real-time campaign monitoring.
Real-Time Fraud Detection System: Build a pipeline for streaming anomaly detection (Spark/Dask optional).
Churn Prediction for SaaS/Telecom: Develop an end-to-end solution including deployment and scheduled retraining.
Interactive Executive Dashboard: Build with Tableau, Power BI, or Streamlit for live business metric monitoring.
Image Classification/Recognition Engine: An end-to-end deep learning project with automated data labeling & reporting.
Business Data Lake Integration: Automate ingest, transformation, and querying from disparate sources.
Explainable AI Reporting Suite: Generate reports with SHAP/LIME explanations for model outcomes.