Power BI Enterprise Analytics
Build practical skills in Power BI, Power Query, DAX, semantic data modeling and AI-assisted analytics while developing a complete enterprise business intelligence solution—from raw business data to executive dashboards, validated insights and professional Power BI Service delivery.
Why Learn Power BI Enterprise Analytics
Modern organizations need more than charts and reports. They need professionals who can prepare data, build reliable analytical models, create meaningful KPIs, develop executive dashboards and turn business information into decision-ready insights.
Career Opportunities
- Power BI Analyst
- Business Intelligence Analyst
- Reporting Analyst
- Data Analyst
- Dashboard Developer
- Reporting Developer
- Business Analyst using Power BI
- Business Intelligence Consultant
Industries: Banking, Insurance, Retail, Healthcare, Pharmaceutical, Hospitals, Government.
Who Should Take This Program?
What You Will Learn
SUBJECT 1 — Power BI Fundamentals: Data Modeling, DAX & AI Workflows
This subject builds the essential Power BI foundation for enterprise analytics, covering data connections, Power Query, semantic modelling, core DAX measures, and analytical reports. Students begin the continuous enterprise project by preparing and validating the data model for Subject 2. AI assistants support formulas, transformations, and troubleshooting, while students verify results against actual Power BI outputs.
SUBJECT 2 — Advanced Power BI Analytics: Advanced DAX, Dashboards & AI Workflows
This subject extends the Phase I model into advanced DAX, time-intelligence analysis, KPI frameworks, executive dashboards, drill-through analysis, and practical Power BI Service workflows. Students continue the same enterprise project while using AI assistants for formula development, debugging, narrative drafting, and quality review. Students remain responsible for validating measures, visuals, filters, and conclusions against source data and business definitions.
SUBJECT 3 — Power BI Analytics Project: Validation, Decision Support & Professional Presentation
Students finalize the continuous enterprise business-intelligence project through model refinement, end-to-end validation, dashboard quality review, executive storytelling, and professional presentation. The capstone turns the Phase I and II work into a polished, portfolio-ready enterprise analytics solution. AI tools support review and productivity, while students remain responsible for the accuracy of formulas, KPIs, visuals, narratives, and recommendations.
Build an Enterprise Project
Students take the role of a Business Intelligence Analyst for a mid-sized Ontario organization that needs to transform scattered operational, sales and financial data into governed, decision-ready reporting.
Throughout the project, you'll gain hands-on experience with:
- Raw Business Data
- Power Query & Data Preparation
- Enterprise Semantic Model
- DAX Measures & KPIs
- Executive Dashboards
- Power BI Service Delivery
- Validation & QA
- Executive Insights & Recommendations
- Professional Portfolio
Admission Requirements:
1. Postsecondary diploma or degree, or demonstrated professional experience in a data, analytics, or software-development role.
2. Good computer knowledge and skills.
3. Passing an admission interview.
Why Study at Metro College?
For more than 25 years, Metro College has been helping students develop the practical skills employers are looking for. Our programs are designed in collaboration with industry trends and emphasize hands-on learning, real-world projects, and career readiness—so you graduate prepared to contribute from day one.
- Career-Focused Learning
- One Continuous Project
- Live Instructor-Led Delivery
- Small class sizes
- Modern Infrastructure Technology
- PL-300 Aligned
- Responsible AI-Assisted Training
- Career Coaching & Job Search Support
Frequently Asked Questions
Find answers to common questions about the Power BI Enterprise Analytics course.
Power BI Enterprise Analytics is a 75-hour program focused on practical enterprise business intelligence skills using Power BI, Power Query, DAX, semantic data modeling, executive dashboards, Power BI Service and AI-assisted analytical workflows.
Students use tools such as Microsoft Copilot and conversational AI assistants to support formula development, debugging, documentation and interpretation. Students also learn to validate AI-generated formulas and conclusions against actual data and business definitions.
No. Previous Power BI experience is not required.
You'll learn Power Query, semantic data modeling, DAX, KPI development, executive dashboard design, Power BI Service delivery, analytical validation and AI-assisted analytics.
The curriculum is aligned with Microsoft PL-300 certification domains and is designed to develop relevant Power BI Data Analyst skills. Microsoft certification is separate from the Metro College program.
If you are interested in a career as data analyst or data scientist, please visit our Data Science and Artificial Intelligence program.
For learn more about other information technology courses, please visit the following subject pages: