Analyzing Data with Power BI (20778B)
The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.
Before attending this course, students must have:
- Excellent knowledge of relational databases and reporting.
- Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
- Some exposure to basic programming constructs (such as looping and branching).
- An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
- Familiarity with Microsoft Office applications – particularly Excel.
After completing this course, students will be able to:
- Perform Power BI desktop data transformation.
- Describe Power BI desktop modelling.
- Create a Power BI desktop visualization.
- Implement the Power BI service.
- Describe how to connect to Excel data.
- Describe how to collaborate with Power BI data.
- Connect directly to data stores.
- Describe the Power BI developer API.
- Describe the Power BI mobile app.
Module 1: Introduction to Self-Service BI Solutions
Introduces business intelligence (BI) and how to self-serve with BI.
This module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualizations.
At the end of this module students will be able to explain the rationale and advantages of using Power BI.
With Power BI desktop you can shape and combine data with powerful, buil-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting.
This module describes how to shape and enhance data.
This module describes how to create and manage interactive data visualizations.
This module describes various connectivity options using Power BI.
This module describes the developer API within Power BI.
This module describes the Power BI mobile app.