Power BI

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Course Details

  • Introduction to Power BI
  • Overview of Power BI Toolset
  • Power BI vs. Other BI Tools (Excel, Tableau, Qlik)
  • Power BI Components (Power BI Desktop, Power BI Service, Power BI Mobile)
  • Getting Started with Power BI

Power BI Basics

  • What is Power BI?
    • Overview of Power BI’s Role in Business Intelligence
    • Key Features and Benefits of Power BI
    • Power BI Ecosystem (Desktop, Service, Mobile)
    • Power BI Pricing Plans
  • Power BI Interface
    • Navigating Power BI Desktop
    • The Ribbon, Fields Pane, Visualizations Pane
    • Exploring the Report View, Data View, and Model View
    • Understanding Power BI Workspaces and Dashboards
  • Connecting to Data
    • Importing Data from Various Sources (Excel, SQL Server, Web, CSV, etc.)
    • Connecting to Online Data Sources (Azure, Google Analytics, SharePoint)
    • Using Power Query Editor to Clean, Transform, and Load Data
    • Refreshing Data Automatically

Power BI Data Transformation & Cleaning (Power Query)

  • Power Query Basics
    • Introduction to Power Query Editor
    • Importing and Transforming Data Using Power Query
    • Removing Duplicate Rows
    • Filtering and Sorting Data
    • Handling Missing or Null Values
  • Data Transformation Techniques
    • Merging Queries and Appending Data
    • Grouping Data (Aggregating Rows)
    • Pivoting and Unpivoting Data
    • Splitting Columns and Changing Data Types
    • Creating Custom Columns and Calculations
    • Using Advanced Editor for M Code
  • Data Loading and Refreshing
    • Loading Data into Power BI Model
    • Data Model and Relationships
    • Scheduled Data Refreshes
    • Incremental Data Refresh (For Large Datasets)

Power BI Data Modeling

  • Understanding Data Models
    • The Concept of Tables, Fields, and Relationships in Power BI
    • Creating Relationships Between Tables (One-to-Many, Many-to-Many)
    • Star Schema and Snowflake Schema in Power BI
  • Creating and Using Calculated Columns
    • Syntax of DAX (Data Analysis Expressions)
    • Examples of Calculated Columns
    • Using IF Statements, Date Functions, and Logical Expressions
  • Measures and Aggregations
    • Creating Measures Using DAX
    • Aggregating Data (SUM, COUNT, AVERAGE, MIN, MAX)
    • Advanced DAX Functions (CALCULATE, FILTER, ALL)
    • Time Intelligence Functions in DAX (YTD, MTD, QTD)
  • Power BI Hierarchies
    • Creating and Using Hierarchies (e.g., Year > Quarter > Month)
    • Hierarchy Drilldowns in Visualizations

Power BI Visualizations

  • Types of Visuals in Power BI
    • Bar Charts, Line Charts, Pie Charts, and Donut Charts
    • Scatter Plots, Area Charts, Waterfall Charts
    • Maps (Shape Maps, Filled Maps, ArcGIS Maps)
    • Table and Matrix Visualizations
    • Card and KPI Visuals for Key Metrics
  • Customizing Visuals
    • Formatting Visuals (Titles, Labels, Colors)
    • Adding Data Labels, Tooltips, and Legends
    • Conditional Formatting in Power BI
    • Using Drill-through and Drill-down Features
  • Interactive Reports
    • Adding Slicers and Filters for User Interaction
    • Cross-filtering and Cross-highlighting in Reports
    • Creating Report Bookmarks for Different Views
    • Using Tooltips to Enhance Visual Information
  • Power BI Themes
    • Applying Built-in or Custom Themes
    • Customizing Visual Appearance with JSON Themes
    • Exporting and Sharing Custom Themes

Power BI Advanced Analytics

  • Using DAX for Advanced Calculations
    • Calculating Year-to-Date, Moving Averages, and Running Totals
    • Advanced Functions (RELATED, RELATEDTABLE, RANKX, EARLIER)
    • Creating Complex Calculated Measures for Reports
  • Time Intelligence in Power BI
    • Using DAX Time Functions (DATEADD, SAMEPERIODLASTYEAR, DATESYTD)
    • Analyzing Time-Based Data (Monthly, Quarterly, Yearly Analysis)
  • Forecasting and Trend Lines
    • Adding Trend Lines to Visualizations
    • Creating Time Series Forecasts in Power BI
    • Forecasting Methods (Exponential Smoothing, Linear Regression)
  • What-If Parameters in Power BI
    • Creating What-If Scenarios Using Parameters
    • Scenario Analysis (Financial Projections, Sales Forecasting)

Power BI Reports and Dashboards

  • Building Interactive Reports
    • Combining Multiple Visuals in Reports
    • Using Themes and Layouts for Professional Reporting
    • Designing Mobile-Friendly Reports
    • Adding Annotations and Comments to Reports
  • Creating Dashboards in Power BI Service
    • What is a Dashboard and How It Differs from a Report
    • Pinning Visuals from Multiple Reports to a Dashboard
    • Managing Dashboards in Power BI Service
    • Sharing and Collaborating on Dashboards with Stakeholders
  • Publishing Reports to Power BI Service
    • Publishing Power BI Desktop Reports to Power BI Service
    • Managing Data Sources and Refresh Schedules
    • Embedding Reports into Websites or Applications (Power BI Embedded)
    • Sharing and Accessing Reports with User Permissions

Power BI Power Query & Power BI Service Integration

  • Connecting Power BI to Cloud Services
    • Connecting to Azure Data Services (Azure SQL Database, Azure Blob Storage)
    • Integrating Power BI with Microsoft 365 (SharePoint, Teams, OneDrive)
    • Importing Data from Online Data Services (Google Analytics, Salesforce)
  • Power BI Service
    • Overview of Power BI Service (Cloud-based Features)
    • Creating and Managing Workspaces in Power BI Service
    • Collaboration and Sharing Options in Power BI Service
    • Data Refresh and Scheduled Updates in Power BI Service
    • Creating Alerts and Notifications

Power BI Data Security

  • Row-Level Security (RLS)
    • Setting Up Row-Level Security in Power BI
    • Defining Security Roles and Filters
    • Testing and Validating RLS
  • Power BI Security Best Practices
    • Managing Permissions and Access Control in Power BI Service
    • Securing Power BI Reports and Dashboards
    • Data Encryption in Power BI
    • Controlling Access to Sensitive Data

Power BI Best Practices

  • Designing Effective Power BI Reports
    • Report Design Guidelines for User Experience
    • Ensuring Performance and Speed of Reports
    • Simplifying Data Presentation (Avoiding Clutter)
    • Choosing the Right Visualization for the Data
  • Optimizing Performance in Power BI
    • Using DirectQuery vs. Import Mode
    • Optimizing DAX Queries and Data Models
    • Reducing Dataset Size for Improved Performance
  • Power BI Version Control and Collaboration
    • Version Control in Power BI Reports (Tracking Changes)
    • Collaborating with Teams using Power BI Service
    • Using GitHub for Power BI Reports (Source Control for Power BI Files)

Power BI How To

  • How to Create Your First Power BI Report
  • How to Build a Dynamic Dashboard in Power BI
  • How to Connect Power BI to SQL Server and Other Data Sources
  • How to Use Power Query for Data Transformation
  • How to Implement Row-Level Security (RLS) in Power BI
  • How to Publish Reports to Power BI Service and Share with Users
  • How to Automate Data Refresh in Power BI
  • How to Embed Power BI Reports in Other Applications (Power BI Embedded)


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