POWER BI – ADVANCED PROFESSIONAL COURSE

Duration: 3–6 Months

Eligibility: Graduate / Working Professionals / Students in IT, Business, or Analytics fields

MODULE 1: Introduction to Power BI

• Overview of Business Intelligence (BI) concepts
• Power BI ecosystem: Desktop, Service, Mobile
• Installing and configuring Power BI Desktop
• Understanding dashboards, reports, datasets, and workspaces
• Basic workflow of Power BI projects

Learning Outcome:

• Familiarity with Power BI interface and navigation
• Understanding BI project lifecycle

MODULE 2: Data Acquisition & Transformation

• Connecting to multiple data sources: Excel, CSV, SQL Server, Azure, Web APIs
• Data extraction, cleaning, and transformation using Power Query
• Merging, appending, and shaping datasets
• Handling real-world data quality issues
• Creating reusable queries and templates

Learning Outcome:

• Ability to prepare clean and structured datasets for analysis

MODULE 3: Data Modeling

• Understanding data modeling concepts
• Relationships: one-to-one, one-to-many, many-to-many
• Star schema and best modeling practices
• Creating calculated columns, measures, and hierarchies
• Table and relationship management

Learning Outcome:

• Build optimized data models ready for analysis and visualization

MODULE 4: DAX (Data Analysis Expressions)

• Introduction to DAX and its importance
• Core functions: mathematical, logical, text, date/time
• Advanced calculations and measures
• Time Intelligence functions: YTD, QTD, MTD, comparisons
• Context and filter management for accurate reporting

Learning Outcome:

• Ability to perform advanced calculations and derive actionable insights

MODULE 5: Visualization & Dashboarding

• Creating interactive visualizations: charts, tables, matrices, cards, KPIs
• Drill-downs, bookmarks, tooltips, and slicers
• Conditional formatting and visual cues
• Custom visuals and marketplace integration
• Dashboard layout, storytelling, and UX best practices

Learning Outcome:

• Design professional, interactive dashboards for decision-making

MODULE 6: Power BI Service & Collaboration

• Publishing reports to Power BI Service
• Creating dashboards and workspaces
• Sharing and collaboration across teams
• Row-Level Security (RLS) implementation
• Version control and governance

Learning Outcome:

• Deploy dashboards in organizational settings with secure access control

MODULE 7: Real-Time Analytics & Advanced Features

• Live streaming datasets and real-time dashboards
• Q&A feature for natural language queries
• Integration with Microsoft Azure and other cloud platforms
• Connecting Power BI with other analytics tools (Excel, Python, R)

Learning Outcome:

• Build advanced, real-time BI solutions integrated with enterprise tools

MODULE 8: Performance Optimization & Best Practices

• Query optimization techniques
• Efficient data modeling and report design
• Performance tuning for large datasets
• Data governance and security standards
• Troubleshooting and maintenance

Learning Outcome:

• Create high-performance, scalable, and secure Power BI solutions

MODULE 9: Capstone Projects

• End-to-end business analytics project
• Data acquisition → Modeling → Visualization → Reporting
• Insights and recommendations presentation
• Real-world datasets and industry scenarios

Learning Outcome:

• Hands-on experience in delivering enterprise-ready BI solutions

Course Outcomes

After completion, learners will be able to:

• Develop professional dashboards and reports using Power BI
• Apply advanced DAX and modeling techniques for complex data analysis
• Implement real-time and interactive analytics solutions
• Integrate Power BI with multiple data sources for business insights
• Present data-driven decisions effectively to stakeholders

Career Opportunities

• Power BI Developer
• Business Intelligence Analyst
• Data Analyst
• Reporting Specialist
• Analytics Consultant
• BI Solution Designer