A comprehensive 9-month program that takes students from Excel basics to advanced data analytics and AI specializations, with hands-on projects and industry-relevant skills development.
Duration: 9 months | Format: Live instruction + hands-on practice
Schedule: Wednesdays & Thursdays, 2 hours each | Start: August 13, 2025 | Completion: May 1, 2026
Holidays: Nigerian public holidays observed | Progression: Excel → SQL & Python → Visualization → Specialization
📁 curriculum/01-phase-1-foundations/
- Excel mastery and data analysis fundamentals
- Pivot tables, advanced functions, and interactive dashboards
- Requirement: ≥80% on placement test to advance
📁 curriculum/02-phase-2-core-skills/ | Timeline: Aug 2025 - Mar 2026
- Weeks 1-4: Fundamentals - Excel to programming bridge
- Weeks 5-8: Intermediate - Advanced operations
- Weeks 9-12: Advanced - Complex analytics
- Weeks 13-16: Looker Studio - Business dashboards
- Weeks 17-20: Streamlit - Web applications
- Weeks 21-24: Capstone Projects - Portfolio development
📁 curriculum/03-phase-3-specializations/ | Timeline: Jan - May 2026 Choose your career track:
- 🔧 No-Code Automation - Zapier, Make.com, Airtable, Power BI
- 🏗️ Data Engineering - Airflow, AWS/GCP, dbt, Snowflake
- 📊 Advanced Analytics - AI-driven analytics, advanced modeling
- 🧬 ML Drug Discovery - Pharmaceutical data analysis and prediction
| Need | Go To |
|---|---|
| This Week's Classes | 📅 Week 1 |
| Setup Your Tools | 🛠️ Tools Setup |
| Download Datasets | 📊 Datasets |
| Study Guides & Help | 📚 Student Resources |
| All Course Content | 📖 Full Curriculum |
| Need | Go To |
|---|---|
| This Week's Lesson Plans | 📋 Week 1 Materials |
| Grading & Assessment | 📊 Admin |
| Content Templates | 📝 Templates |
| Complete Syllabus | 📚 Detailed Curriculum |
| Course Schedule | 📅 24-Week Breakdown |
Choose from 5 real-world scenarios:
- Customer Satisfaction Analysis - Amazon review sentiment analysis
- Marketing Channel Effectiveness - Campaign optimization
- Product Performance Analysis - E-commerce insights
- Seller Optimization - Marketplace analytics
- Supply Chain Analysis - Logistics optimization
Track-specific capstone projects demonstrating specialization mastery
| Phase | Tools & Platforms |
|---|---|
| Phase 1 | Microsoft Excel, CSV datasets |
| Phase 2 | VS Code (SQL), Google Colab (Python), Looker Studio, Streamlit |
| Phase 3 | Track-specific professional tools |
| Document | Purpose |
|---|---|
| 📚 Full Documentation | Complete program information |
| 🤖 CLAUDE.md | Repository structure guide |
| 📋 Syllabus | Detailed course requirements |
| 🎯 Assessment Guide | Evaluation criteria |
graph LR
A[Excel Mastery] --> B[SQL & Python Sync]
B --> C[Visualization Tools]
C --> D[Phase 2 Project]
D --> E[Specialization Track]
E --> F[Final Capstone]
- 🔄 Synchronized Learning: SQL and Python taught in parallel with same datasets
- 🤖 AI Integration: Structured curriculum for AI-assisted problem solving
- 💼 Industry Focus: Real business scenarios and professional-grade projects
- 🎯 Career Tracks: Four specialized paths for different career goals
- 📱 Modern Tools: Current industry-standard platforms and technologies
- Technical Help: AI Troubleshooting Guide
- Project Templates: Standardized Frameworks
- Setup Support: Installation & Configuration
- Community: Live instruction with peer collaboration
Ready to transform your data analysis skills? Use the navigation guide above to get started and join the next generation of data professionals.