Course Number: PBI-104

Duration: 5 days (32.5 hours)

Format: Live, hands-on

Power BI Training Overview

Accelebrate's Comprehensive Power BI training class teaches attendees how to connect to various data sources, shape and combine data, work with reports, and create and share sophisticated dashboards. In addition, participants learn how to implement Power BI security and integrate Power BI with Azure DevOps. Attendees’ own data is eagerly incorporated into the class if available. 

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

Objectives

All students will learn how to:

  • Navigate the Power BI service
  • Integrate Power BI with other Office 365 services
  • Use workspaces
  • Prepare data for building reports
  • Design your Power BI reports for maximum clarity and impact
  • Generate actionable insights from your data
  • Create and style Power BI dashboards
  • Plan Power BI projects with organization goals in mind
  • Use the Power BI Query Editor for a wide range of operations, including joining multiple data sources
  • Connect to diverse data sources and transform data
  • Design import and DirectQuery data models
  • Develop DAX measures and implement security roles
  • Apply custom visuals, animation, and analytics
  • Build more sophisticated Power BI dashboards
  • Manage the on-premises data gateway
  • Deploy the Power BI Report Server
  • Administer Power BI
  • Implement Power BI security
  • Integrate Power BI with Azure DevOps

Prerequisites

No prior experience is presumed. 

Outline

Expand All | Collapse All

Overview & Eco System
  • What is Power BI?
  • What is Power BI service?
  • How does Power BI fit in your role?
  • Working in Power BI service
  • Use cases for Power BI service
  • Future of Power BI
Licensing for Power BI
  • End user licensing with O365
  • Difference between Pro and Free
  • Premium licensing
    • Capacities and the importance
Navigating the Power BI Service
Collaborating in the Power BI Service
  • Leveraging comments
  • Subscribed email alerts
Integration with other O365 services
  • Power Apps
  • Visio
  • Flow
Business Use Cases
Key Concepts and Terminology
Understanding Workspaces and How to Use Them
  • My Workspace
  • Workspaces
Preparing Data for Building Reports
  • Data preparation
  • Connecting to external data sources
  • Importing data sources
  • How to share datasets
Visualization and Design
  • How to captivate an audience
  • Styling best practices
  • How to tell a story with data
Building Reports in the Power BI Service
  • Using the Report Editor
  • Connecting to data sources
  • Understanding datasets and data refresh
  • Filters and highlighting
  • Building simple charts
  • Choosing the right visuals
  • Optimizing for mobile
  • Designing report best practices
  • Dynamic interaction with a report
  • Exporting Reports
  • Publish and share your work
  • Leveraging Bookmarks
  • Automate report delivery
Gain Business Insights From Your Data
  • Using Quick insights
  • Create Q&A questions
  • Leverage Q&A for ad-hoc visualization
  • Optimize data for quick insights
Creating and Formatting Power BI Dashboards
  • Understanding tile interaction
  • Live reports
  • Kinds of tiles
  • Positioning tiles
  • Designing a dashboard
Dataflows
  • What are dataflows?
  • How do they integrate with your organization
  • Connecting to different data sources
  • Building a dataflow
  • Sharing it with others
  • Building reports from dataflows
Power BI Apps
  • What is an app?
  • Advantages of using apps
  • How to build an app and share it with others
Planning Power BI Projects
  • Power BI deployment modes
  • Project discovery and ingestion
  • Power BI project roles
  • Power BI licenses
  • Data warehouse bus matrix
  • Dataset design process
  • Data profiling
  • Dataset planning
    • Sample project analysis
Power BI Desktop
  • Overview
  • Use Cases
  • Architecting a PBIX file
  • Preview features
  • Visualizations
  • Data Models
  • Analyzing data in the PBIX tables
  • Navigation
Power BI Query Editor
  • Loading data models
  • Leveraging parameters
  • Advanced query editor
  • Data transformation
  • Data manipulation
  • Joining multiple data sources
    • On-premise
    • Cloud
    • Hybrid
  • Understanding query process
Connecting to Sources and Transforming Data
  • Query design per dataset mode
  • Data sources
  • SQL views
  • M queries
  • Query folding
  • M Query examples
  • M editing tools
Designing Import and DirectQuery Data Models
  • Dataset layers
  • The Data Model
  • Relationships
  • Model metadata
  • Optimizing performance
Developing DAX Measures and Security Roles
  • DAX measures
  • Base measures
  • Date intelligence metrics
  • Dimension metrics
  • Ranking metrics
  • Security roles
  • Performance testing
Applying Custom Visuals, Animation, and Analytics
  • Drill through report pages
  • Bookmarks
  • ArcGIS Map visual for Power BI
  • Waterfall chart breakdown
  • Analytics pane
  • Quick Insights
  • Custom visuals
  • Animation and data storytelling
Data Visualization
  • End User Interaction design
  • End User Experience design
  • How to select the right visual
  • Understanding visual data alignment
  • Data Architecting
  • Snowflake schema
  • Star schema
  • Designing to leverage relationships
  • Dynamic filtering
Designing Power BI Dashboards and Architectures
  • Dashboards versus reports
  • Dashboard design
  • Multi-dashboard architectures
  • Dashboard tiles
  • Live report pages
  • Mobile-optimized dashboards
Managing Application Workspaces and Content
  • Application workspaces
  • Staged deployments
  • Dashboard data classifications
  • Version control
  • Metadata management
Managing the On-Premises Data Gateway
  • On-premises data gateway planning
  • Gateway clusters
  • Gateway architectures
  • Gateway security
  • Gateway configuration
  • Managing gateway clusters
  • Troubleshooting and monitoring gateways
  • Scheduled data refresh
  • DirectQuery datasets
  • Live connections to Analysis Services models
  • Dashboard cache refresh
Deploying the Power BI Report Server
  • Planning for the Power BI Report Server
  • Installation
  • Configuration
  • Upgrade cycles
  • Report Server Desktop Application
  • Report Server Web Portal
  • Power BI mobile applications
  • Report server administration
    • Scale Power BI Report Server
Creating Power BI Apps and Content Distribution
  • Content distribution methods
  • Power BI apps
  • Self-Service BI workspace
  • Sharing dashboards and reports
  • SharePoint Online embedding
  • Custom application embedding
  • Publish to web
  • Data alerts
  • Email Subscriptions
  • Analyze in Excel
Administering Power BI for an Organization
  • Data governance for Power BI
  • Azure Active Directory
Power BI Admin Portal
  • Usage metrics reports
  • Audit logs
  • Power BI Premium capacities
  • Managing user access
  • Controlling what is shared
  • Customizing with company branding
  • Controlling workspaces and rights
  • Managing embed codes
  • Types of Administrators
  • Administrative tasks
  • Track service health
  • Data protection
Scaling with Premium and Analysis Services
  • Power BI Premium
  • Power BI Premium capacity allocation
  • Premium capacity estimations
  • Analysis Services
  • Migration of Power BI Desktop to Analysis Services
Power BI Dataflows
  • Build an ETL
  • Distributing Dataflow
  • Connecting to Dataflows
  • Management
Power BI Security
  • Role-based access
  • Designing for RLS
  • Dynamic Role level security
  • Leveraging the AAD
  • Implementing in the Power BI Service
Integration with Azure DevOps
  • PBIX version control
  • Continuous integration
  • Continuous deployment
  • Aligning as an Agile/Scrum BI team
  • Pull requests
  • Builds
  • Releases
  • Pipeline management
  • Automatic deployment to Power BI Service
  • Gated deployments with approvals
  • Security
  • Projects
Conclusion

Training Materials:

All Power BI training students receive comprehensive courseware.

Software Requirements:

  • A recent version of Windows (Windows 10 recommended), with at least 8 GB of RAM
  • Microsoft Office installed (especially Excel)
  • Power BI Desktop installed


Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

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Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



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