Capability Development / Data Analytics
Design and Manage Analytics Solutions Using Power BI (PL-300)
This Power BI training program provides end-to-end knowledge of data analytics, reporting, visualization, and enterprise Business Intelligence using Microsoft Power BI. Through Power BI Desktop, Power Query, DAX, data modeling, and Power BI Service, participants learn to transform raw business data into meaningful insights and build professional, interactive dashboards. The program aligns with PL-300 Microsoft Power BI Data Analyst certification requirements and covers AI-driven insights, governance, and deployment practices for real-world business scenarios.
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. Through Power BI Desktop, Power Query, DAX, data modeling, and Power BI Service, participants learn to transform raw business data into meaningful insights and build professional, interactive dashboards. The program aligns with PL-300 Microsoft Power BI Data Analyst certification requirements and covers AI-driven insights, governance, and deployment practices for real-world business scenarios.
Audience Profile
Aspiring and practicing Power BI data analysts preparing for PL-300 certification; Business analysts and reporting professionals building BI dashboards; Data professionals responsible for data modeling and DAX calculations; and IT and BI teams managing Power BI governance and deployment.
Course Syllabus
Power BI Overview & Analytics Landscape
Topics
- Introduction to the Power BI ecosystem: Desktop, Service, Mobile, Gateway
- Power BI licensing overview (Free, Pro, Premium)
- Power BI architecture and data flow
- Power BI vs Excel vs other BI tools
- Real-world business use cases
- Overview of the end-to-end BI lifecycle
Data Connectivity & Data Sources
Topics
- Connecting to data sources: Excel, CSV, text files
- Import vs DirectQuery vs Live Connection
- Choosing the right connectivity mode
- Data refresh concepts
Power Query Editor – Data Transformation
Topics
- Introduction to Power Query (M engine)
- Data profiling tools: column quality, distribution, profile
- Common transformations: clean, filter, split, merge, append, replace values, change data types
- Handling missing and dirty data
- Query dependencies and applied steps
- Performance best practices
Data Modeling Fundamentals
Topics
- Star schema
- Creating relationships
- Cardinality and cross filter direction
- Fact and dimension tables
- Date table creation (best practices)
Labs / Practice
- Load and clean raw business data
- Build a basic data model
- Prepare a reusable dataset
Introduction to DAX (Data Analysis Expressions)
Topics
- DAX concepts and syntax
- Calculated columns vs measures
- Row context vs filter context
- Common DAX functions: SUM, AVERAGE, COUNT, CALCULATE, FILTER, ALL
- Best practices for writing DAX
Data Visualization Best Practices
Topics
- Choosing the right visual
- Core visuals: tables, matrix, bar, line, area, combo charts, cards and KPIs
- Advanced visuals: decomposition tree, key influencers, waterfall, funnel
- Formatting for executive dashboards
Interactive Reports & User Experience
Topics
- Advanced slicers and filters
- Drill-down and drill-through
- Tooltips (report page tooltips)
- Bookmarks and buttons
- Conditional formatting
Labs / Practice
- Build a Sales & Financial Dashboard
- Create DAX-driven KPIs
- Design interactive executive-level reports
Advanced DAX & Performance Optimization
Topics
- Variables in DAX
- Iterator functions: SUMX, AVERAGEX
- Optimizing data models
- DAX Studio overview (conceptual)
AI & Latest Power BI Features
Topics
- Power BI Copilot overview: report creation using natural language, AI-assisted DAX and insights
- Q&A visual
- Forecasting in Power BI
- Integration with Microsoft Fabric (overview)
Power BI Service & Collaboration
Topics
- Publishing reports to Power BI Service
- Workspaces (new workspace experience)
- Apps vs reports vs dashboards
- Data refresh scheduling
Governance, Security & Real-World Scenarios
Topics
- Security and compliance overview
- Version control and deployment strategies
- Power BI best practices for enterprises
- Common mistakes and how to avoid them
- PL-300 exam alignment and career guidance