Analyzing Data with Power BI – 3 day – ITL

Please call for schedule/pricing

Add to quote
SKU: N/A Categories: , Tags: ,

This official Microsoft Analyzing Data with Power BI (20778) course provides a comprehensive understanding of how to analyze data with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.

Plus, this course will prepare you for Microsoft exam 70-778, a core requirement for the MCSA: BI Reporting certification.

Outline for this course

  • Module 1: Introduction to Self-Service BI Solutions
    • Lessons
      • 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
      • Viewing reports
      • Creating a Power BI report
      • Creating a Power BI dashboard
    • After completing this module, students will be able to:
      • Describe the trends in BI
      • Describe the process of data analysis in Power BI.
      • Use the key visualizations in Power BI.
      • Describe the rationale for self-service BI.
      • Describe considerations for self-service BI.
      • Understand how you can use Microsoft products to implement a BI solution.
  • Module 2: Introducing Power BI
    • Lessons
      • Power BI
      • The Power BI service
    • Lab : Creating a Power BI dashboard
      • Connecting to Power BI data
      • Create a Power BI dashboard
    • After completing this module, students will be able to:
      • Develop reports using the Power BI Desktop app.
      • Use report items to create dashboards on the Power BI portal.
      • Understand the components of the Power BI service including licensing and tenant management.
  • Module 3: Power BI
    • Lessons
      • 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
      • Importing Excel files into Power BI
      • Viewing reports from Excel files
    • After completing this module, students will be able to:
      • Describe the data model and know how to optimize your data within the model.
      • Connect to Excel files and import data.
      • Use on-premises & cloud SQL Server databases as data sources, with the R script data connector.
      • Take advantage of the features of the Power BI service.
      • Use Q&A to ask questions in natural query language and create apps.
  • Module 4: Shaping and Combining Data
    • Lessons
      • Power BI desktop queries
      • Shaping data
      • Combining data
    • Lab : Shaping and combining data
      • Shape power BI data
      • Combine Power BI data
    • After completing this module, students will be able to:
      • Perform a range of query editing skills in Power BI
      • Shape data, using formatting and transformations.
      • Combine data together from tables in your dataset.
  • Module 5: Modeling data
    • Lessons
      • Relationships
      • DAX queries
      • Calculations and measures
    • Lab : Modeling Data
      • Create relationships
      • Calculations
    • After completing this module, students will be able to:
      • Describe relationships between data tables.
      • Understand the DAX syntax, and use DAX functions to enhance your dataset.
      • Create calculated columns, calculated tables and measures.
  • Module 6: Interactive Data Visualizations
    • Lessons
      • Creating Power BI reports
      • Managing a Power BI solution
    • Lab : Creating a Power BI report
      • Connecting to Power BI data
      • Building Power BI reports
      • Creating a Power BI dashboard
    • After completing this module, students will be able to:
      • Use Power Bi desktop to create interactive data visualizations.
      • Manage a power BI solution.
  • Module 7: Direct Connectivity
    • Lessons
      • Cloud data
      • Connecting to analysis services
    • Lab : Direct Connectivity
      • Direct connections to Power BI
    • After completing this module, students will be able to:
      • Use Power BI direct connectivity to access data in Azure SQL Database and Azure SQL Data Warehouse
      • Use Power BI direct connectivity to access data in big data sources, such as Hadoop.
      • Use Power BI with SQL Server Analysis Services data.
      • Use Analysis Services models running in multidimensional mode.
  • Module 8: The Developer API
    • Lessons
      • The developer API
      • Custom visuals
    • Lab : Using the developer API
      • Using custom visualization
    • After completing this module, students will be able to:
      • Describe the developer API.
      • Describe the Power BI Developer API.
      • Describe how developers can use this API to create applications
      • Describe the registration process for new applications.
      • List the steps for creating custom visualizations.
      • Import custom visuals into Power BI for use in Power BI reports.
  • Module 9: Power BI mobile app
    • Lessons
      • Power BI mobile apps
      • Using the Power BI mobile app
      • Power BI embedded
    • After completing this module, students will be able to:
      • Describe the Power BI mobile app.
      • Download and use the Power BI mobile app.
      • Describe Power BI embedded and when you would want to use it.
  • Before attending this course, students must have:
    • 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
  • What You will Learn:
    • 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
  • 3-day instructor-led training course
  • One-on-one after-course instructor coaching

Related products

ITIL® 4 Specialist: High Velocity IT – 3 day – ITLDeploying Microsoft 365 Teamwork (MS-300) – 5 day – ITL