Data Intelligence Architect
Data Engineering, Business Intelligence, and AI.
Transforms students into data intelligence architects.
Enroll in this PathwayCertification Roadmap
3 pillars to work through, in order.
Certified Data Analytics Associate
Data Analytics & Reporting Fundamentals
View Full Curriculum →Certified Data Intelligence Specialist
Data Warehousing, BI, and ETL
View Full Curriculum →Certified AI & Machine Learning Engineer
AI, ML & Advanced Data Modeling
View Full Curriculum →The Track, Step by Step
Concrete checkpoints inside each pillar — not just "finish the course," but specific proof of work along the way.
Level 1 Milestone: Data Foundation & Database Implementation
Project Title: Industrial Dataset Cleanup and Database Migration
Objective: Transform a messy real-world industrial dataset from raw Excel into a clean, optimized relational database.
- Clean a messy industrial dataset in Excel
- Design relational schema
- Import into SQL database
- Optimize queries
- Present performance improvement report
Assessment: Practical Database Rebuild + Technical Presentation
Deliverables:
- Cleaned Excel workbook with documentation
- Relational Schema Diagram (ER Diagram)
- SQL scripts (Table creation + Data import)
- Optimized queries for key reports
- Technical presentation
Level 2 Milestone: End-to-End Business Intelligence Project
Project Title: Sales & Operations Performance Dashboard
Objective: Analyze a large multi-source dataset, build an interactive dashboard, and deliver actionable business insights.
- Clean and integrate multiple raw datasets (Excel + CSV files)
- Design and implement a star schema data model
- Write complex SQL queries for key business metrics
- Perform Exploratory Data Analysis (EDA) and statistical analysis
- Create interactive dashboards in Power BI or Tableau
- Implement KPIs, trend analysis, and comparative visualizations
- Apply statistical methods and correlation analysis
Assessment: Interactive Dashboard + Insights Presentation
Deliverables:
- Cleaned and integrated datasets
- Data model diagram and SQL scripts
- Professional interactive dashboard (Power BI or Tableau)
- Executive presentation with insights and recommendations
Level 3 Milestone: Comprehensive Data Analytics Capstone Project
Project Title: Strategic Business Performance Optimization
Objective: Execute a full-cycle advanced analytics project from raw data to strategic business recommendations.
- Source and integrate complex data from multiple platforms
- Build and optimize a robust data model
- Develop advanced analytics using Python and SQL
- Apply statistical techniques including hypothesis testing
- Create advanced calculations and dynamic dashboards
- Implement Row-Level Security and performance optimization
- Deliver executive-level storytelling with clear recommendations
- Document complete methodology and limitations
Assessment: Full Capstone Project + Executive Presentation + Technical Defense
Deliverables:
- Complete project documentation and methodology
- SQL and Python scripts
- Advanced interactive dashboard
- Executive presentation deck
- Live demonstration and Q&A defense
Beginner Capstone Project
Intermediate Capstone Project
Advanced Capstone Project
Beginner Capstone Project
Intermediate Capstone Project
Advanced Capstone Project
What You're Actually Earning
Each badge is awarded only after finishing the level's assessed work — it's not a participation certificate. It's evidence, held by you, that an employer can check without having to take your word for it.
Certified Data Analytics Associate
Certified Data Intelligence Specialist
Certified AI & Machine Learning Engineer
Ready to Start Data Intelligence Architect?
Pay level by level as you go -- start with the first program's first level, then advance as you earn.
Enroll in this Pathway