Analyzing and Presenting Data with Power BI
Duration: 21 hours
Prerequisites: Familiarity with database concepts and experience with spreadsheet software such as Microsoft Excel. Basic familiarity with relational databases and data warehousing is helpful but not required.
Students Will Learn:
- The fundamentals and evolution of business analysis processes and tools
- The roles, tasks and tools involved in self-service business analysis
- How to connect to and import data from numerous diverse sources into the Power BI Desktop and service
- When to directly query data sources and when to import data
- How to shape, transform, and combine data from diverse sources to create useful reports
- Using the Power Query Editor
- Which visualizations are best suited for various types of analysis
- How to create, organize and format visualizations that evoke insight and deliver optimal impact
- How to use and develop data models and related tools to combine datasets for analysis
- How to modify relationships, cardinality, and cross filter direction to maximize the efficacy of analysis
- Publishing to the Power BI service
- Create and manipulating dashboards, reports and apps in the Power BI service
- Refreshing datasets, reports and dashboards in the Power BI Desktop and service
- Sharing reports, dashboards, workbooks and datasets in the Power BI service
- Creating hierarchical drilldown reports
- Collaborating in the Power BI service
- The basics of DAX (Data Analysis Expressions)
- The utility of the Power BI REST API and the R, M and Python languages with regard to the Power BI suite of tools
Course Description:
This course provides a robust and 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. Topics include an exploration of the evolution of relational databases, data warehouse and business intelligence; importing and combining data from diverse data sources; shaping and transforming data; modeling data; developing useful and insightful visualizations; creating and sharing reports and dashboards in the Power BI service; collaborating in the Power BI service; and 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.
Course Overview:
Introduction to Business Analysis
|
Getting Data with Power BI Desktop
|
Transforming and Shaping Data
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Visualizing Data
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Types of Visualizations
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Modeling Data
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The Power BI Service
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Power BI and Programming Languages
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