Overview
The main purpose of the 3-day course is to give participants a good understanding of data analysis with Power BI. The course included creating visualizations, the Power BI Service, and the Power BI Mobile App.
Prerequisites
In addition to their professional experience, students who attend this training should already have the following technical knowledge:
- Basic knowledge of the Microsoft Windows operating system and its core functionality
- Basic knowledge of data warehouse schema topology (including star and snowflake schemas)
- Some exposure to basic programming concepts (such as looping and branching)
- An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable
- Familiarity with Microsoft Office application – particularly Excel
Who Should Attend?
The course is highly recommended for SQL Server report creators who are interested in alternative methods of presenting data.
Course Outline
- Introduction to business intelligence
- Introduction to data analysis
- Introduction to data visualization
- Overview of self-service BI
- Considerations for self-service BI
- Microsoft tools for self-service BI
Lab: Exploring an Enterprise BI solution
- Power BI
- The Power BI service
Lab: Creating a Power BI dashboard
- Using Excel as a data source for Power BI
- The Power BI data model
- Using databases as a data source for Power BI
- The Power BI service
Lab: Importing data into Power BI
- Power BI desktop queries
- Shaping data
- Combining data
Lab: Shaping and combining data
- Relationships
- DAX queries
- Calculations and measures
Lab: Modelling Data
- Creating Power BI reports
- Managing a Power BI solution
Lab: Creating a Power BI report
- Cloud data
- Connecting to analysis services
Lab: Direct Connectivity
- The developer API
- Custom visuals
Lab: Using the developer API
- The Power BI mobile app
- Using the Power BI mobile app
- Power BI embedded
