Analyzing and Presenting Data with Power BI
Duration: 3 Days (Face-to-Face or Remote-Live), or 21 hours of coursework with personal facilitation over a four week span (On-Demand)
US Price: $1695 (Face-to-Face or Remote-Live), or $1495 (On-Demand)
Registration: Click here to view upcoming schedules and register for face-to-face sessions, click here to register for live remote attendance sessions, or click here to register for on-demand training with a start date that is convenient for you.
This course provides an in-depth introduction to Microsoft's Power BI suite of products. Students will learn to use the Power BI Desktop and Power BI online service to import, analyze, and visualize business data, and to share business intelligence. The course starts with an exploration of the evolution of relational databases, data warehouse and business intelligence. Later topics include importing and combining data from diverse data sources, shaping and transforming data, and modeling data. Students will develop useful and insightful data visualizations, and create and share reports and dashboards in the Power BI service. Students will learn about collaborating in the Power BI service, and will also gain an introduction to Data Analysis Expressions (DAX).
Extensive hands on labs provide students with experience using the topics presented throughout the course to produce appropriate visualizations of data.
Students wanting in-depth coverage of DAX and Power Query M in addition to Power BI training should instead attend the Analyzing Data with Power BI, DAX, and Power Query M course rather than this course.
Before attending this course, students must have:
- High degree of computer literacy
- Experience with office applications
- Familiarity with spreadsheet functionality
- An understating of fundamental business analysis issues such as revenue, profitability, financial accounting, and reporting
- Basic familiarity with relational databases and data warehousing is helpful but not required
|Introduction to Business Analysis
||Getting Data with Power BI Desktop
|Transforming and Shaping Data
|Types of Visualizations
|The Power BI Service
||Power BI and Programming Languages
|Analyzing Data with Power BI, DAX, and Power Query M|
|SQL Server 2019 Reporting Services|