Microsoft Power BI – Business Data Analytics

Target Audience:

• Business analysts
• Data analysts
• IT professionals
• Managers & decision-makers
• Anyone interested in data visualization and business intelligence

Course Objectives:

By the end of this course, participants will be able to:

1. Understand the fundamentals of Business Intelligence and Power BI.
2. Import, transform, and clean data using Power Query.
3. Model data and create relationships in Power BI.
4. Develop interactive reports and dashboards.
5. Utilize DAX (Data Analysis Expressions) for advanced calculations.
6. Implement best practices for data visualization.
7. Share and collaborate on Power BI reports via Power BI Service.
8. Integrate Power BI with other Microsoft tools and external data sources.

Learning Outcomes:

Upon successful completion, learners will be able to:
✅ Load and process raw data into Power BI for analysis.
✅ Build dynamic and visually appealing reports and dashboards.
✅ Apply advanced analytical techniques using DAX functions.
✅ Automate data refresh and scheduling.
✅ Make data-driven decisions with meaningful insights.
✅ Effectively publish and share reports across an organization.

Course Outline:

Module 1: Introduction to Power BI

• What is Business Intelligence (BI)?
• Overview of Power BI and its components
• Power BI Desktop vs Power BI Service vs Power BI Mobile
• Understanding Data Sources & Connectivity

Module 2: Data Extraction and Transformation (Power Query)

• Connecting to various data sources (Excel, SQL, Web, APIs)
• Data transformation using Power Query
• Merging, appending, and shaping data
• Data cleansing techniques

Module 3: Data Modeling and Relationships

• Understanding data models and relationships
• Creating relationships between tables
• Star schema vs Snowflake schema
• Optimizing data models for performance

Module 4: Introduction to DAX (Data Analysis Expressions)

• Introduction to DAX formulas
• Creating calculated columns and measures
• Commonly used DAX functions (SUMX, COUNTX, CALCULATE, FILTER)
• Time intelligence functions

Module 5: Data Visualization and Dashboard Design

• Best practices for visual storytelling
• Working with different chart types (bar, line, pie, matrix, etc.)
• Using slicers and filters for interactivity
• Custom visuals and themes

Module 6: Advanced Analytics with Power BI

• Forecasting and trend analysis
• Key performance indicators (KPIs)
• Conditional formatting and drill-throughs
• AI-driven analytics (Q&A, Smart Narrative)

Module 7: Power BI Service & Sharing Reports

• Publishing and sharing reports
• Managing workspaces and user roles
• Scheduled data refresh and security
• Embedding Power BI in applications

Module 8: Integration and Automation

• Power BI integration with Excel, SharePoint, and Teams
• Automating workflows with Power Automate
• Power BI REST API and embedding reports

Module 9: Real-World Projects and Case Studies

• Hands-on project: Creating a full-scale business dashboard
• Industry use cases: Sales analysis, financial reporting, HR analytics
• Best practices for Power BI governance

Training Methodology:

✔ Instructor-led Training (ILT): Interactive live sessions (online or classroom).
✔ Hands-on Labs: Practical exercises and case studies.
✔ Project-Based Learning: Real-world scenarios for deeper understanding.
✔ Q&A & Troubleshooting: Interactive discussions to address challenges.
✔ Assessments & Quizzes: To reinforce learning outcomes.
✔ Final Capstone Project: A comprehensive Power BI dashboard project.