Analyse et visualisation de données avec Power BI

Before attending this course, students must have:

• Excellent knowledge of relational databases and reporting.
• Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
• Some exposure to basic programming constructs (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.

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

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.

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

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

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

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

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

After completing this module, students will be able to:

• Describe the data model and know how to optimize data within the model
• Connect to Excel files and import data
• Use on-premises and cloud Microsoft SQL Server databases as a data source, along with the R script data connector
• Take advantage of the features of the Power BI service by using Q&A to ask questions in natural query language, and create content packs and groups

Module 4: Shaping and Combining Data

With Power BI desktop you can shape and combine data with powerful, buil-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

After completing this module, students will be able to:

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

Module 5: Modeling data

This module describes how to shape and enhance data.

Lessons

• Relationships
• DAX queries
• Calculations and measures

Lab: Modeling Data

• Create relationships
• Calculations

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

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

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

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

After completing this module, students will be able to:

• Use Power BI direct connectivity to access data in Azure SQL data warehouse, in addition to big data sources such as Hadoop
• Use Power BI with SQL Server Analysis Services data, including Analysis services modles running in multidimentional mode

Module 8: The 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

After completing this module, students will be able to:

• Describe the developer API
• Use the developer API to create custom visuals

Module 9: Power BI mobile app

This module describes the Power BI mobile app.

Lessons

• Power BI mobile apps
• Using the Power BI mobile app
• Power BI embedded

After completing this module, students will be able to:

• Describe the Power BI mobile app
• Download and use the Power BI mobile app
• Describe Power BI embedded and when you would want to use it