20778A
Analyzing Data with Power BI


  • Duration: 3 days
  • Price: $1,557.00
  • Certifications:
  • Exams:
Course Overviewremove_circle_outline

The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.

Target Audienctadd_circle_outline

The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.

Course Objectivesadd_circle_outline

After completing this course, students will be able to:

  • 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.
Course Outlineadd_circle_outline

Module 1: Introduction to Self-Service BI SolutionsIntroduces business intelligence (BI) and how to self-serve with BI.

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 BIThis module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualizations.

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 BIAt the end of this module students will be able to explain the rationale and advantages of using 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 data within the model.
  • Connect to Excel files and import data
  • Use on-premises and cloud Microsoft SQL Server databases as a data source, along with the R script data connector
  • Take advantage of the features of the Power BI service by using Q&A to ask questions in natural query language, and create content packs and groups.

Module 4: Shaping and Combining DataWith Power BI desktop you can shape and combine data with powerful, buil-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting.**

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: Modelling dataThis module describes how to shape and enhance data.

Lessons

  • Relationships
  • DAX queries
  • Calculations and measures
  • Lab : Modelling 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 VisualizationsThis module describes how to create and manage 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 ConnectivityThis module describes various connectivity options using Power BI.

Lessons

  • Cloud data
  • Connecting to analysis services
  • Lab : Direct Connectivity
  • Direct connectivity from Power BI desktop
  • Direct connectivity from the Power BI service

After completing this module, students will be able to:

  • Use Power BI direct connectivity to access data in Azure SQL data warehouse, in addition to big data sources such as Hadoop
  • Use Power BI with SQL Server Analysis Services data, including Analysis services modles running in multidimentional mode.

Module 8: Developer APIThis module describes the developer API within Power BI.

Lessons

  • The developer API
  • Custom visuals
  • Lab : Using the developer API
  • Using custom visuals

After completing this module, students will be able to:

  • Describe the developer API.
  • Use the developer API to create custom visuals.

Module 9: Power BI mobile appThis module describes the Power BI mobile app.**

Lessons

  • The Power BI mobile app
  • 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.
Prerequisitesadd_circle_outline

Before attending this course, students must have:

  • Excellent knowledge of relational databases and reporting.
  • 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.
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