Power BI Beginner to Advanced

• Understand Power BI fundamentals and its components.
• Connect Power BI to multiple data sources.
• Import and transform data using Power Query.
• Resolve common data import and refresh errors.
• Prepare and clean datasets for analysis.
• Design dimensional data models.
• Create and manage relationships between tables.
• Create calculated columns and measures using DAX.
• Build interactive reports and dashboards.
• Apply advanced data visualization techniques.
• Create paginated reports.
• Publish and share Power BI reports.
• Work with Power BI Service.
• Apply Power BI skills to business intelligence and data analysis scenarios.

Module 1: Introduction to Power BI

• Introduction to Business Intelligence
• Introduction to Power BI
• Power BI Desktop
• Power BI Service
• Power BI Mobile
• Power BI interface
• Installing Power BI Desktop
• Understanding Power BI components
• Connecting to data sources
• Importing data into Power BI

Module 2: Get Data in Power BI

Lesson 1: Getting Data from Multiple Sources

• Excel
  • Locally Stored Excel Files
  • Cloud-Based Excel Files
• Access
• CSV Files and Folders
• Web
• Dataverse and Dataflows
• Azure SQL Database

Lesson 2: Resolve Data Import Errors

• Resolving Data Load Errors
• Resolving Data Path Errors
• Resolving Refresh Errors

Module 3: Preparing Data in Power BI

Lesson 1: Enhancing Data Structure

• Join Types
• Merge Queries
• Profiling Data in Power BI
• Shaping Initial Data
• Simplifying Data Structures
• Evaluating and Changing Column Data Types

Lesson 2: Designing a Data Model

• Introduction to Dimensional Modeling
• Elements of Dimensional Data Model
  • Attributes
  • Fact Tables
  • Dimension Tables
• Understanding Cardinality
• Creating Relationships
• Effects of Relationships
• Defining Data Granularity
• Configuring Tables
• Working with Relationships and Cardinality
• Resolving Modeling Challenges
• Creating Hierarchies

Module 4: Calculation with DAX

Lesson 1: Introduction to DAX

• Writing DAX Formulas
• Calculated Columns
• Measures
• Creating Simple Measures
• Aggregations
• Advanced Calculations
• Dynamic Measures
• DAX Functions

Module 5: Data Visualization

• Introduction to Data Visualization
• Creating Charts
• Tables and Matrix Visualizations
• Cards and KPI Visualizations
• Slicers and Filters
• Conditional Formatting
• Drill-down
• Drill-through
• Bookmarks
• Interactive Reports
• Dashboard Design
• Visualization Best Practices

Module 6: Advanced Power BI Features

• Advanced Data Analysis
• Advanced DAX
• Advanced Data Modeling
• Complex Calculations
• Advanced Filtering
• Report Interactivity
• Performance Considerations
• Troubleshooting Power BI Solutions

Module 7: Paginated Reports and Dashboards

• Introduction to Paginated Reports
• Creating Paginated Reports
• Using Power BI Report Builder
• Designing Paginated Reports
• Creating Dashboards
• Publishing Reports
• Dashboard Creation and Management

Module 8: Power BI Service

• Publishing Reports
• Power BI Workspaces
• Sharing Reports and Dashboards
• Collaboration
• Data Refresh
• Managing Power BI Content
• Power BI Online Capabilities

Module 9: Real-World Power BI Projects

• Connecting to business datasets
• Data preparation
• Data modeling
• DAX calculations
• Interactive visualization
• Dashboard development
• Business reporting
• Presenting insights for decision-making

5 Days

Microsoft Certified: Power BI Data Analyst Associate

Exam PL-300: Microsoft Power BI Data Analyst

• Install and configure Power BI Desktop.
• Connect Power BI to Excel data.
• Import CSV and folder-based datasets.
• Connect to web-based data.
• Connect to Azure SQL Database.
• Import data from multiple sources.
• Resolve data-load errors.
• Resolve data-path errors.
• Resolve refresh errors.
• Clean and transform data using Power Query.
• Merge queries.
• Profile datasets.
• Change data types.
• Build a dimensional data model.
• Create fact and dimension tables.
• Create table relationships.
• Configure cardinality.
• Create hierarchies.
• Create calculated columns.
• Create DAX measures.
• Build interactive reports.
• Create charts, cards, KPIs, tables and matrices.
• Configure filters and slicers.
• Create drill-through reports.
• Create bookmarks.
• Build dashboards.
• Create paginated reports using Power BI Report Builder.
• Publish reports to Power BI Service.
• Share reports and dashboards.
• Configure data refresh.
• Complete a business intelligence dashboard project.

• Beginners who want to learn Power BI from the fundamentals.
• Business professionals who want to create dashboards and reports.
• Data analysts.
• Business intelligence professionals.
• Professionals transitioning into data analytics.
• Professionals looking to develop Power BI and DAX skills.

• No prior Power BI experience required.
• Basic knowledge of Excel is helpful.
• Basic understanding of data handling is helpful.
• A Windows computer with Power BI Desktop is recommended for self-paced practice.