Power BI for Tableau users

After completing this module, you will be able to:

• Describe the Power BI Desktop interface.
• Connect to your data in Power BI Desktop by using the DirectQuery and Import methods.
• Describe the importance of relationships in your Power BI data models.
• Build a visualization in Power BI Desktop.
• Apply conditional formatting to help analysts detect critical issues and identify patterns in data.
• Discover differences and similarities between Tableau and Power BI concepts.

In this module, you'll:

• Identify basic concepts and terminology on Power BI data connections.
• Connect to your data in Power BI by using live and import methods.
• Perform data transformations by using Power Query editor.
• Share your data transformation steps by using Advanced Query editor.
• Set up relationships in the data modeling view.
• Identify differences and similarities between Tableau and Power BI concepts.

In this module, you will:

• Create and apply calculated columns, measures, and calculated tables in Power BI using Data Analysis Expressions (DAX).
• Understand the importance of context in Power BI calculations.
• Identify differences and similarities between Tableau and Power BI calculation concepts.

In this module, you will:

• Identify basic organization concepts in Microsoft Power BI.
• Prepare simplified and ready-to-go datasets for future developers and analysts.
• Organize your fields with groups and bins.
• Edit the default properties of your fields.
• Identify differences and similarities between Tableau and Power BI concepts.

In this module, you will:

• Learn the basics of creating visualizations.
• Identify basic tips and tricks on making pages more interactive and user-friendly.
• Create basic and customized pages that deliver insights.
• Identify how visualization processes and actions differ between Tableau and Power BI.

In this module, you will:

• Build out-of-the-box functions that will be performed by analysts to gain deeper insight into their data.
• Perform thoughtful analytics on top of your data.
• Identify ways that Power BI can be integrated with other languages, such as R and Python.
• Identify differences and similarities between Tableau and Power BI concepts.

In this module, you will:

• Improve a model refresh and function.
• Learn about the importance of removing redundant and unnecessary fields.
• Identify the steps to improve a visual.
• Improve model calculations.

• Introduction
• Introduction to the Power BI Desktop
• Differences in terminology
• Relationships
• CALCULATE function
• Build a visual
• Apply conditional formatting
• Performance Analyzer
• Check your knowledge
• Summary

• Introduction
• Data transformation
• Relationships
• Data transformation lab
• Check your knowledge
• Summary

• Introduction
• Understanding calculated columns and measures
• Understand iterator functions
• Learn the CALCULATE function
• Table DAX expressions
• Lab for understanding Power BI calculations
• Check your knowledge
• Summary

• Introduction
• Learn the importance of field properties
• Organize and simplify calculations
• Lab for organizing and simplifying fields
• Check your knowledge
• Summary

• Introduction
• Build a visualization
• Format a visualization
• Show more with tooltips
• Apply conditional formatting
• Create a custom visual
• Apply a filter
• Create a bookmark
• Lab - Creating visualizations
• Check your knowledge
• Summary

• Introduction
• Gain insights with AI visuals
• Add reference lines from the Analytics pane
• Create parameters with the what-if analysis
• Use R and Python
• Lab - Perform analytics
• Check your knowledge
• Summary

• Introduction
• Improve a model refresh and function
• Improve a model calculation
• Improve a visual
• Check your knowledge
• Summary