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ETI Performance Improvement

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Analyzing Data with Power BI (20778)

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.

Prerequisites

Before attending this course, students should have:

  • A general knowledge of database concepts (fields, records, relationships)
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
  • Familiarity with Excel.

At course completion
  • 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.



More About This Session


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Dates & Registration

Analyzing Data with Power BI (20778)

3 Days

Your Price: $1896


Register!

Module 1: Introduction to Self-Service BI Solutions
Introduces 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

Module 2: Introducing Power BI
This 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

Module 3: Power BI
At 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

Module 4: Shaping and Combining Data
With Power BI desktop you can shape and combine data with powerful, built-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

Module 5: Modelling data
This module describes how to shape and enhance data.

Lessons
  • Relationships
  • DAX queries
  • Calculations and measures
  • Lab : Modelling Data
  • Create relationships
  • Calculations

Module 6: Interactive Data Visualizations
This 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

Module 7: Direct Connectivity
This 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

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

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

Module 9: Power BI mobile app
This module describes the Power BI mobile app.

Lessons
  • The Power BI mobile app
  • Using the Power BI mobile app
  • Power BI embedded

Analyzing Data with Power BI (20778)

3 Days

Your Price: $1896

Date Time Classroom or Online Select Session
08/19/2019 11:30 AM Online Add To Cart Add To Cart

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Indianapolis, Indiana 46240

p. 317.475.6555
e. [email protected]

Hours:
8:00 am - 5:00 pm M-F EST

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