HARTMANN software group

10989: Analyzing Data with Power BI Training in Furth, Germany

Enroll in or hire us to teach our 10989: Analyzing Data with Power BI class in Furth, Germany by calling us @303.377.6176. Like all HSG classes, 10989: Analyzing Data with Power BI may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it is scheduled: Public Training Classes
Provided there are enough attendees, 10989: Analyzing Data with Power BI may be taught at one of our local training facilities.
We offer private customized training for groups of 3 or more attendees.
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Course Description

  
This two-day instructor-led course provides students with the knowledge and skills analyze data with Power BI.
Course Length: 2 Days
Course Tuition: $890 (US)

Prerequisites
This course requires that you meet the following prerequisites: 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 â?? particularly Excel.

Course Outline

  

Module 1: Introduction to Self-Service BI Solutions

In this module students will be introduced to the key concepts in business intelligence, data analysis, and data visualization. In addition they will learn the rationale for self-service BI, considerations for using self-service BI, and how Microsoft products can be used to implement a self-service BI solution.

Lessons

  • Introduction to business intelligence
  • Introduction to data analysis
  • Introduction to data visualization
  • Overview of self-service BI
  • Considerations of self-service BI
  • Microsoft tools for self-service BI

Lab: Exploring an enterprise BI solution

After completing this module, you will be able to:

  • Describe key concepts in business intelligence
  • Describe key concepts in data analysis
  • Describe key concepts in data visualization
  • Describe the rationale for self-service BI
  • Describe considerations for self-service BI
  • Describe how Microsoft products can be used to implement a self-service BI solution

 

Module 2: Introducing Power BI

This module introduces Power BI.

Lessons

  • Power BI
  • The Power BI service
  • Power BI mobile apps

Lab: Cresting a Power BI dashboard

After completing this module, you will be able to:

  • Describe Power BI
  • Describe the Power BI Service
  • Implement Tenant Management
  • Describe Power BI mobile apps
  • Create a simple dashboard

 

Module 3: Power BI Data

This module describes Power BI data sources.

Lessons

  • Using Excel as a Power BI data source
  • Using databases as a Power BI data source
  • The Power BI service

Lab: Import data into Power BI

After completing this module, you will be able to:

  • Use Excel as a Power BI data source
  • Use databases as a Power BI data source and describe the R language
  • Configure the Power BI Service

 

Module 4: Shaping and Combining Data

This module describes how to shape and combine data.

Lessons

  • Power BI desktop queries
  • Shaping data
  • Combining data

Lab: Shaping and combining data

After completing this module, you will be able to:

  • Create Power BI Desktop queries
  • Shape data
  • Combine data

 

Module 5: Modelling Data

This module describes how to model data in Power BI.

Lessons

  • Relationships
  • DAX queries
  • Calculations and measures

Lab: Modelling data

After completing this module, you will be able to:

  • Configure the Power BI Service
  • Create Relationships
  • Write simple DAX queries
  • Create calculations and measures

 

Module 6: Interactive Data Visualizations

This module describes Power BI visualizations.

Lessons

  • Creating Power BI reports
  • Managing a Power BI solution

Lab: Creating a Power BI report

After completing this module, you will be able to:

  • Use Power BI Desktop to create interactive data visualizations
  • Describe the management of a Power BI solution

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