Analyse et visualisation de données avec Power BI

Who is the training for?

The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data

Level reached

Advanced

Duration

3,00 day(s)

Language(s) of service

Next session

Contact the training provider

Prerequisites

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.

Goals

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