|
Description
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.
Objectives
Lesson objectives help students become comfortable with the course, and also provide a means to evaluate learning. Upon successful completion of this course, students will be able to:
• Describe key features of a self-service BI solution
• Describe Power BI and its data sources
• Model, shape, and combine data
• Describe Power BI data visualizations
Prerequisites
To ensure successful completion of this course, we recommend the following:
• 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
These prerequisites can be achieved by attending courses
• 20761A – Querying Data with Transact-SQL
• 20767A - Implementing a SQL Server Data Warehouse
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.
• 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
Module 2: Introducing Power BI
• This module introduces Power BI.
• Power BI
• The Power BI service
• Power BI mobile apps
• Lab : Cresting a Power BI 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
Module 4: Shaping and Combining Data
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
Module 5: Modelling Data
• This module describes how to model data in Power BI.
• Lessons
• Relationships
• DAX queries
• Calculations and measures
• Lab : Modelling data
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
|