Analyzing with Power BI

Session Detail:    Classroom, Virtual 3 Day

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. This is a refresh to the preceding versions to take account of changes in the Power BI service.

Prerequisites

In addition to their professional experience, students who attend this training should already have the following technical knowledge:

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Basic knowledge of data warehouse schema topology (including star and snowflake schemas).
  • Some exposure to basic programming concepts (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.
  • Basic knowledge of the Microsoft Windows operating system and its core functionality
  • Basic knowledge of data warehouse schema topology (including star and snowflake schemas)
  • Some exposure to basic programming concepts (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)

Who Can Benefit

The primary audience for this course is BI professionals who need to analyze data utilizing Power BI. The secondary audiences for this course are technically proficient business users.

  • Business analysts
  • Business intelligence developers
  • SQL professionals

Session Outline

Class Outline

Module 1: Introduction to Self-Service BI Solutions

  • Lesson 1: Introduction to Business Intelligence
  • Lesson 2: Introduction to Data Analysis
  • Lesson 3: Introduction to Data Visualization
  • Lesson 4: Overview of Self-Service BI
  • Lesson 5: Considerations for Self-Service BI
  • Lesson 6: Microsoft Tools for Self-Service BI

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

  • Lesson 1: Power BI
  • Lesson 2: The Power BI Service

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 Data

  • Lesson 1: Using Excel as a Data Source for Power BI
  • Lesson 2: The Power BI Data Model
  • Lesson 3: Using Databases as a Data Source for Power BI
  • Lesson 4: The Power BI Service

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

  • Lesson 1: Power BI Desktop Queries
  • Lesson 2: Shaping Data
  • Lesson 3: Combining Data

After completing this module, students will be able to:

  • Perform a range of query editing tasks in Power BI
  • Shape data, using formatting and transformations
  • Combine data together from tables in your dataset

Module 5: Modeling Data

  • Lesson 1: Relationships
  • Lesson 2: DAX Queries
  • Lesson 3: Calculations and Measures

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

  • Lesson 1: Creating Power BI Reports
  • Lesson 2: Managing a Power BI Solution

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

  • Lesson 1: Cloud Data
  • Lesson 2: Connecting to Analysis Services

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: Development with Power BI

  • Lesson 1: The Power BI API
  • Lesson 2: Custom Visuals

After completing this module, students will be able to:

  • Describe the Power BI Developer API
  • List the steps for creating custom visualizations
  • Import custom visuals into Power BI for use in Power BI reports

Module 9: Power BI Mobile

  • Lesson 1: Power BI Mobile Apps
  • Lesson 2: Using the Power BI Mobile App

After completing this module, students will be able to:

  • Create dashboards and reports for mobile devices
  • Use the Power BI Mobile app

Need to train your team?

All of our sessions can be customized to meet your team’s specific needs. Build the perfect program by picking and choosing topics from any of the courses in our catalog. A personalized private session gives you the ultimate flexibility and helps maximize your team’s valuable time!

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Analyzing with Power BI

3 Day
Classroom, Virtual

$2,295.00

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