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Power BI: Understanding machine learning concepts

Format: On-demand

This course will be an overview of:

Introduction to Power BI

  • Downloading and installing Power BI
  • Signing up for a Power BI account
  • Getting data into Power BI
  • Power BI Desktop and Service

Discuss different ML algorithms and models

  • Identify when to use different algorithms and models

Create a ML learning model in Power BI

  • Introduction to the AutoML feature
  • Discuss how to interpret the results of the model, thinking critically
  • Explain other alternatives to the created model and discuss the relative advantages and disadvantages

Learning Objectives

After completing this course, the learner should be able to:

  • Identify the appropriate machine learning technique for a specific problem.
  • Create an appropriate model in Power BI.
  • Interpret the output of the model.
  • Think critically about the limitations of ML and a specific model and consider the relative advantages of other models.

Available Formats