Knowledge Enhancement / Database & Data Science
Design and Manage Analytics Solutions Using Power BI (PL-300)
Turn raw business data into insight with Microsoft Power BI: Power Query, data modeling, DAX, interactive dashboards, AI features, Power BI Service and governance.
Program Overview
This Power BI training program provides end-to-end knowledge of data analytics, reporting, visualization and enterprise Business Intelligence using Microsoft Power BI. It focuses on practical learning through Power BI Desktop, Power Query, DAX, data modeling, interactive dashboards, Power BI Service, AI-driven insights, governance and deployment practices.
Participants learn to prepare, model, analyze, visualize, publish and secure data effectively, designing business-ready reports and dashboards aligned with the PL-300 Microsoft Power BI Data Analyst certification.
Learning Objectives
- Understand the Power BI ecosystem: Desktop, Service, Mobile, Gateway and collaboration features
- Connect, clean, transform and prepare data from multiple sources using Power Query
- Create optimized star-schema data models with business-focused DAX calculations
- Design interactive reports and executive dashboards with slicers, drill-through, bookmarks and KPIs
- Apply governance, security, refresh, deployment and collaboration practices
- Gain hands-on experience through labs aligned with PL-300 exam objectives
Audience Profile
Data and business analysts, MIS and reporting professionals, Excel power users, managers and students who want to build professional dashboards, and learners preparing for the PL-300 certification.
Course Syllabus
Module 1: Power BI Overview and Analytics Landscape
Topics
- Power BI ecosystem: Desktop, Service, Mobile and Gateway
- Licensing overview: Free, Pro and Premium
- Power BI architecture and data flow
- Power BI vs Excel vs other BI tools
- Real-world use cases and the end-to-end BI lifecycle
Module 2: Data Connectivity and Data Sources
Topics
- Connecting to Excel, CSV and text files
- Import vs DirectQuery vs Live Connection
- Choosing the right connectivity mode
- Data refresh concepts
Module 3: Power Query Editor and Data Transformation
Topics
- Power Query (M engine) and data profiling tools
- Clean, filter, split, merge and append
- Replace values and change data types
- Handling missing and dirty data
- Query dependencies, applied steps and performance best practices
Module 4: Data Modeling Fundamentals
Topics
- Star schema, fact and dimension tables
- Creating relationships, cardinality and cross-filter direction
- Date table creation best practices
Labs & Practice
- Load and clean raw business data
- Build a basic data model and a reusable dataset
Module 5: Introduction to DAX
Topics
- DAX concepts and syntax
- Calculated columns vs measures
- Row context vs filter context
- SUM, AVERAGE, COUNT, CALCULATE, FILTER and ALL
- Best practices for writing DAX
Module 6: Data Visualization Best Practices
Topics
- Choosing the right visual
- Tables, matrix, bar, line, area, combo charts, cards and KPIs
- Decomposition tree, key influencers, waterfall and funnel
- Formatting for executive dashboards
Module 7: Interactive Reports and User Experience
Topics
- Advanced slicers and filters
- Drill-down and drill-through
- Report page tooltips, bookmarks and buttons
- Conditional formatting
Labs & Practice
- Build a sales and financial dashboard
- Create DAX-driven KPIs and executive-level reports
Module 8: Advanced DAX and Performance Optimization
Topics
- Variables in DAX
- Iterator functions: SUMX and AVERAGEX
- Optimizing data models
- DAX Studio overview
Module 9: AI and Latest Power BI Features
Topics
- Power BI Copilot: natural-language report creation and AI-assisted DAX
- Q&A visual
- Forecasting in Power BI
- Integration with Microsoft Fabric
Module 10: Power BI Service, Governance and Deployment
Topics
- Publishing reports, workspaces and apps
- Apps vs reports vs dashboards and refresh scheduling
- Security, compliance, version control and deployment strategies
- Enterprise best practices and common mistakes
- PL-300 exam alignment and career guidance