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.