Course description
Analyzing and Presenting Data with Power BI
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 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 attend the Analyzing Data with Power BI, DAX, and Power Query M course rather than this course.
Who should attend?
Before attending this Microsoft Power BI training 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
Training content
- Introduction to Business Analysis
- Transforming and Shaping Data
- Types of Visualizations
- The Power BI Service
- Getting Data with Power BI Desktop
- Visualizing Data
- Modeling Data
- Power BI and Programming Languages
Course delivery details
Delivery Options : Attend face-to-face in the classroom,remote-live or via on-demand training.
Certification / Credits
- 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
About HOTT
Hands On Technology Transfer, Inc.
Hands On Technology Transfer (HOTT) was established in 1995 and has always had the same mission: to provide the best possible IT training and always assure that students attain competence and confidence in the skills being taught. HOTT’s innovative approach...
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Hands On Technology Transfer, Inc.
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