AI-Powered Visualizations and Advanced Features in Power BI Training

AI-powered, AI-assisted en AI-enabled analytics zijn meer dan modewoorden; ze markeren een fundamentele verschuiving in de manier waarop inzichten worden gecreëerd en benut. In deze training ontdek je hoe Microsoft Power BI deze evolutie omarmt door geavanceerde AI-functionaliteiten diep te integreren met Microsoft Fabric, het moderne cloud-analyticsplatform dat kan concurreren met oplossingen zoals Databricks, Snowflake en Google BigQuery.

Tijdens deze training leer je hoe je AI-gestuurde visualisaties inzet om sneller patronen te herkennen, voorspellingen te maken en datagedreven beslissingen te ondersteunen. Onderwerpen zoals AI-visuals, automatische inzichten, Copilot-functionaliteiten, geavanceerde datamodellering en integratie met Fabric komen uitgebreid aan bod.

Deze Power BI-training is ideaal voor data-analisten, BI-professionals en beslissers die hun dashboards slimmer, interactiever en toekomstbestendig willen maken met behulp van kunstmatige intelligentie.

Cursusinhoud

Advanced Features in Power BI: AI-Powered Insights

Course: 1 Hour, 17 Minutes

• Course Overview
• Utilizing a Fabric Workspace
• Ingesting Data into Fabric
• Generating Insights on Data
• Analyzing Insights for a Visualization
• Identifying Possible Explanations for Anomalies
• Identifying Possible Explanations for Trends
• Explaining Increase and Decrease in Value
• Exploring How Distributions Vary
• Categorizing Numeric Columns to Study Varying Distributions
• Course Summary

Advanced Features in Power BI: Key Influencers, Anomaly Detection, & Decomposition Trees

Course: 1 Hour, 36 Minutes

• Course Overview
• Interpreting Key Influencers for a Continuous Target
• Adding Explain-By Variables and Identifying Top Segments
• Interpreting Key Influencers for a Categorical Target
• Utilizing AI Insights for Anomaly Detection and Forecasting Objective
• Tuning the Anomaly Detection Algorithm in Power BI
• Investigating Anomaly Explanations and Value Drivers
• Forecasting Trends Using Historical Data in Power BI
• Drilling Down into Measures with Decomposition Trees
• Exploring Drill Down Hierarchies and Formatting Options
• Using AI Splits and Locking Levels in Decomposition Trees
• Course Summary

Advanced Features in Power BI: Copilot for Smart Narratives & DAX Queries

Course: 1 Hour, 27 Minutes

• Course Overview
• Creating Base Visuals for Smart Narratives
• Generating and Customizing Smart Narratives in Power BI
• Customizing Dynamic Values and Interactivity in Smart Narratives
• Provisioning Fabric Capacity and Enabling Copilot in Power BI
• Creating Smart Narratives Using Copilot in Power BI
• Using Copilot to Generate DAX Queries in Power BI Desktop
• Generating and Refining DAX Queries with Copilot
• Optimizing DAX Queries with Copilot
• Creating DAX Expressions Using Quick Measures and Copilot
• Generating DAX Measures with Copilot in Power BI
• Course Summary

Advanced Features in Power BI: Copilot for Dataflows & Reports

Course: 1 Hour, 6 Minutes

• Course Overview
• Creating a Data Lakehouse and a Dataflow Gen
• Transforming Data with Copilot
• Using Microsoft Copilot to Work with Power BI Reports
• Using Explorations to Analyze Data
• Creating Visuals and Answering Questions on Your Data with Copilot
• Creating Report Pages with Copilot
• Creating Dashboards with Copilot
• Course Summary

Advanced Features in Power BI: Q&A, Scorecards, & Metrics

Course: 1 Hour, 20 Minutes

• Course Overview
• Creating a Q&A Visual
• Converting Q&A Visuals to Standard Visuals
• Analyzing the Need for Synonyms with Q&A Visuals
• Specifying and Testing Synonyms
• Utilizing Teach Q&A, Suggested Questions, and Relationships
• Creating a Scorecard and a Manual Metric
• Creating Connected Metrics
• Configuring Subgoals
• Rolling Up Subgoals into a Parent Goal
• Course Summary

Advanced Features in Power BI: Automated Machine Learning (AutoML) & Deployment Pipelines

Course: 1 Hour, 26 Minutes

• Course Overview
• Creating an ML Model for Regression
• Training a Regression Model with AutoML
• Creating and Configuring a Classification Model
• Running the Notebook for Classification
• Performing Predictions with the Trained Model
• Configuring a Forecasting Model
• Training a Forecasting Model
• Creating and Configuring Dev and Test Workspaces in a Deployment Pipeline
• Performing Deployments and Redeployments in Pipelines
• Course Summary

Advanced Features in Power BI: Real-Time Streaming Reports in Microsoft Fabric

Course: 41 Minutes

• Course Overview
• Creating an Azure Event Hub Namespace and Event Hub
• Creating a Fabric Eventhouse and Eventstream
• Configuring the Eventstream and the Destination KQL Database
• Creating a Real-Time Dashboard and Viewing Updates to Streaming Events
• Course Summary

Advanced Features in Power BI: Real-Time Streaming Reports in Microsoft Fabric

Course: 41 Minutes

• Course Overview
• Creating an Azure Event Hub Namespace and Event Hub
• Creating a Fabric Eventhouse and Eventstream
• Configuring the Eventstream and the Destination KQL Database
• Creating a Real-Time Dashboard and Viewing Updates to Streaming Events
• Course Summary