Program Overview
Program Overview
Section titled “Program Overview”Five-Hour Structure
Section titled “Five-Hour Structure”Hour 1: Data Engineering Fundamentals
Section titled “Hour 1: Data Engineering Fundamentals”- 🔗 Understanding data pipelines
- 🦶 Data modeling basics
- ✋ ETL vs ELT concepts
- 🗣️ Data quality and testing
- 🏆 Hands-on exercises
Hour 2: Data Storage and Processing
Section titled “Hour 2: Data Storage and Processing”- 🤸 Data warehouses vs data lakes
- ⚡ SQL and NoSQL databases
- 🧩 Batch vs streaming processing
- 🤝 Data partitioning and optimization
- 🏔️ Real-world examples
Hour 3: Data Pipeline Development
Section titled “Hour 3: Data Pipeline Development”- 🧗♂️ Building ETL pipelines with Python
- 💪 Working with Apache Airflow
- 🎨 Data transformation techniques
- 🏅 Error handling and monitoring
- 🎓 Practical implementation
Hour 4: Data Quality and Testing
Section titled “Hour 4: Data Quality and Testing”- 📊 Data validation frameworks
- 🔍 Unit testing for data pipelines
- 📈 Data quality metrics
- 🚨 Monitoring and alerting
- ✅ Best practices
Hour 5: Real-world Project
Section titled “Hour 5: Real-world Project”- 🚀 End-to-end data pipeline implementation
- 📝 Best practices and patterns
- ⚡ Performance optimization
- 🚢 Production deployment
- 🎉 Project completion
Skill Level System
Section titled “Skill Level System”- Skill Points: Students start at 0-20 points with structured guidance
- 🤖 Bonus Tech Hour: Advanced AI and automation concepts (Skill Level 20-100)
0-20 Points: Beginners
Section titled “0-20 Points: Beginners”Structured learning with step-by-step guidance and clear examples. Perfect for those new to data engineering.
- Specific exercises assigned
- Detailed code walkthroughs
- Clear documentation
- 2-3 practice problems
20-80 Points: Intermediate
Section titled “20-80 Points: Intermediate”Guided independence with flexible project choices and multiple implementation options. Building confidence and problem-solving skills.
- Choose between implementation approaches
- Flexible workspace setup
- Participate in code reviews
- Make architectural decisions
- Advanced exercises
80-100 Points: Advanced
Section titled “80-100 Points: Advanced”Self-directed development with full implementation freedom, project design responsibilities, and mentoring opportunities.
- Design own data pipelines
- Configure development environments
- Independently manage deployments
- Lead group discussions
Daily Schedule
Section titled “Daily Schedule”| Time | Activity | Focus |
|---|---|---|
| 9:00-9:30am | 🎯 Morning Session | Introduction and setup |
| 9:30-10:30am | Hour 1: Fundamentals | Core concepts and hands-on practice |
| 10:30-11:30am | 💻 Hour 2: Storage | Data storage and processing |
| 11:30am-12:30pm | Hour 3: Pipelines | ETL development and implementation |
| 12:30-1:00pm | Lunch Break | Networking and Q&A |
| 1-2:00pm | 🔧 Hour 4: Quality | Testing and monitoring |
| 2:00-3:00pm | Hour 5: Project | Real-world implementation |
| 3:00-3:30pm | Review & Next Steps | Project completion and feedback |
| 3:30-5:00pm | Optional Office Hours | Individual support and mentoring |
| 5:00-6:00pm | 💻 Advanced Topics | Optional advanced concepts |