Phase Overview
The curriculum is structured around seven progressive phases that take learners from Python fundamentals through machine learning to business intelligence and database mastery.
| Phase | Days | Outcomes | | --- | --- | --- | | Phase 1 β Python Foundations | 01-20 | Core Python syntax, data structures, and file handling to automate repeatable business workflows. | | Phase 2 β Data Analytics & Workflows | 21-39 | NumPy, Pandas, databases, APIs, statistics, and visualization fundamentals for building analysis-ready datasets. | | Phase 3 β Machine Learning Foundations | 40-54 | Regression, classification, unsupervised learning, and neural networks with an applied business focus. | | Phase 4 β Advanced ML & MLOps | 55-67 | Transformers, generative models, deployment, monitoring, and production ML pipelines for operational excellence. | | Phase 5 β Business Intelligence | 68-84 | BI strategy, analytics enablement, and career planning to activate organization-wide insights. | | Phase 6 β BI Advanced & Capstone | 85-90 | Advanced SQL, cloud BI platforms, data governance, and comprehensive capstone project. | | Phase 7 β SQL & Database Mastery | 91-108 | Comprehensive SQL training, database design, optimization, and enterprise database features. |
How to use this structure
Each phase builds on previous knowledge while remaining modular enough to revisit independently:
- Linear path: Progress through phases 1-7 sequentially for comprehensive mastery.
- Targeted learning: Jump to specific phases based on your current needs and background.
- Skill refreshers: Return to earlier phases to reinforce fundamentals or fill knowledge gaps.
Phase navigation
Use the navigation tabs above or the links in the table to explore each phase in detail. Each phase page includes:
- Learning objectives and outcomes
- Complete lesson listings with descriptions
- Practical applications and projects
- Links to proceed to the next phase
Ready to begin? Start with Phase 1 β Python Foundations or jump to the phase that matches your current skill level.
For a complete listing of all lessons, visit the lesson library.