Self-Service Analytics with Power BI

Who Should Attend?

DATA ANALYST and DATA SCIENTIST

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Duration: 2 Days

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.

  • 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

Module 1: Introduction to Self Service BI Solutions

Introduction 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, build- 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: Modelling Data
This module describes how to shape and enhance data.

Lessons:

  • Relationships
  • DAX queries

Calculations and measures

Lab: Modelling 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.

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