10989 - Analysing Data with Power BI

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This two-day instructor-led course provides students with the knowledge and skills to analyse data with Power BI.

In this module students will be introduced to the key concepts in business intelligence, data analysis, and data visualisation. 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 visualisation
  • Overview of self-service BI
  • Considerations for 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 visualisation
  • 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
This module introduces Power BI.
Lessons
  • Power BI
  • The Power BI service
  • Power BI mobile apps
Lab : Creating a Power BI dashboard
After completing this module, students will be able to:
  • Describe Power BI
  • Describe the Power BI Service
  • Implement Tenant Management
  • Describe Power BI mobile apps
  • Create a simple dashboard
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, students 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
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, students will be able to:
  • Create Power BI Desktop queries
  • Shape data
  • Combine 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, students will be able to:
  • Configure the Power BI Service
  • Create Relationships
  • Write simple DAX queries
  • Create calculations and measures
This module describes Power BI visualisations.
Lessons
  • Creating Power BI reports
  • Managing a Power BI solution
Lab : Creating a Power BI report
After completing this module, students will be able to:
  • Use Power BI Desktop to create interactive data visualisations
  • Describe the management of a Power BI solution
The primary audience for this course is BI professionals who need to analyse data utilizing Power BI. The secondary audiences for this course are technically proficient business users.
This course requires that you meet the following prerequisites (these can be achieved by attending courses 20761 and 20767:
  • 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.
INSTRUCTORS
Steve Wiggins

Steve is a highly experienced technical trainer with over 10 years ...

Auret Swanepoel

Auret is a highly skilled and qualified IT Technical trainer. He ...


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