Course Number: PBI-102

Duration: 3 days (19.5 hours)

Format: Live, hands-on

Power BI Training Overview

This Intermediate Power BI training course builds on the Introduction class, teaching the advanced dashboard skills participants need for building more sophisticated data visualizations. During class, students connect to various data sources, shape and combine data, work with reports, and create and share more sophisticated dashboards.  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

  • 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

All participants should have attended Accelebrate's Introduction to Power BI training or have the equivalent experience. 

Outline

Expand All | Collapse All

Introduction
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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