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LinkedIn Learning

Power BI: Integrating AI and Machine Learning

via LinkedIn Learning


Find out how you can give end users the capability to explore AI and machine learning in Power BI.


  • The power of Power BI
  • What you should know
  • Overviewing AI and machine learning types
  • Defining dimensionality
  • Utilizing the Power BI ecosystem and Azure
  • Configuring R in Power BI Desktop
  • Introducing the course project
1. Configuring Power Query and the Data Model
  • Utilizing AI in the ETL framework
  • Configuring parameters
  • Analyzing dataset statistics and distributions
  • Configuring separate error logs for existing datasets
  • Running Vision algorithms
  • Utilizing Text Analytics algorithms
  • Leveraging AI and the star schema
  • Adjusting DateTime fields for lags
2. Analyzing a Single Variable
  • Configuring aggregations and dimensionality
  • Filtering options
  • Calculating DAX measures
  • Challenge: Single variable
  • Calculating rolling averages
  • Utilizing binning to create histograms
  • Summarizing statistics
  • Splitting a category with small multiples
  • Leveraging violin plots
  • Solution: Single variable
3. Measuring Relationships between Variables
  • Visualizing relationships with scatter plots
  • Accessing the Analytics pane
  • Calculating correlations
  • Visualizing correlations
  • Adding clustering to existing visuals
  • Calculating best fit line
  • Utilizing the outlier detection visual
  • Calculating outliers
  • Contextualizing outliers
  • Challenge: Multiple variables
  • Solution: Multiple variables
4. Utilizing AI Visuals to Ask What-If Questions
  • Determining key drivers with decomposition tree visual
  • Leveraging the Q&A visual
  • Discovering key insights with the Key Influencer visual
  • Utilizing parameters to model what-if scenarios
  • Challenge: AI visuals
  • Solution: AI visuals
5. Analyzing Time Series Data
  • Organizing time series analysis
  • Adding forecasting from the Analytics pane
  • Leveraging anomaly detection
  • Utilizing ARIMA forecasting
  • Incorporating seasonality through TBATS forecasting
  • Analyzing predictions vs. actuals
  • Challenge: Time series analysis
  • Solution: Time series analysis
6. Creating and Sharing Analysis
  • Designing a consolidated view for sharing
  • Uploading and sharing in the Power BI service
  • Configuring quick insights
  • Challenge: Shared view
  • Solution: Shared view
  • How to learn ML and AI in Power BI

Taught by

Helen Wall


4.6 rating at LinkedIn Learning based on 243 ratings

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