Coding for MBA
A 108-day applied Python, analytics, and business intelligence curriculum for decision-makers who want to ship production-ready insights.
Quick start
- Clone the repo
git clone https://github.com/saint2706/Coding-For-MBA.git cd Coding-For-MBA - Create a virtual environment
python -m venv .venv source .venv/bin/activate # Windows: .venv\\Scripts\\activate - Install dependencies
pip install -r requirements.txt pip install -r requirements-dev.txt
What you get
- Seven-phase journey that connects Python foundations, machine learning, and SQL mastery to business storytelling.
- Repeatable lesson pattern with Python scripts, notebooks, and solution walk-throughs.
- Tooling for local development, CI, and documentation so you can learn by doing.
| Phase | Days | Focus |
|---|---|---|
| Phase 1 – Python Foundations | 01-20 | Automate workflows with core Python skills. |
| Phase 2 – Data Analytics & Workflows | 21-39 | Build analysis-ready datasets with Pandas, APIs, and visualization. |
| Phase 3 – Machine Learning Foundations | 40-54 | Apply supervised, unsupervised, and neural techniques to business problems. |
| Phase 4 – Advanced ML & MLOps | 55-67 | Operationalize models with transformers, deployment, and monitoring. |
| Phase 5 – Business Intelligence | 68-84 | Design BI programs, stakeholder journeys, and enablement playbooks. |
| Phase 6 – BI Advanced & Capstone | 85-90 | Deliver cloud BI solutions, governance, and a culminating capstone. |
| Phase 7 – SQL & Database Mastery | 91-108 | Master enterprise SQL, database design, and performance tuning. |