Analyzing Data with Power BI Course

overview

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.

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Instructor Led Learning

Duration: 3 Days
Location: Cape Town & Johannesburg
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Video Learning

Duration:3 Days
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What you will learn

  • Lesson 1 :Introduction to Self-Service BI Solutions
  • Lesson 2 : Introducing Power BI
  • Lesson 3 :Power BI
  • Lesson 4 :Shaping and Combining Data
  • Lesson 5 : Modelling data
  • Lesson 6 :Interactive Data Visualizations
  • Lesson 7 :Direct Connectivity
  • Lesson 8 : Developer API
  • Lesson 9 : Power BI mobile app

Basic computer skills

Computers made easy course

Introduction to Microsoft Office course

Location for instructor led courses are Cape Town and Johannesburg. We also offer onsite training country wide. T’s and Cs apply. Contact us for more information.

FULL COURSE OUTLINE

Module 1: Introduction to Self-Service BI Solutions

  • 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

  • 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

  • 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

  • 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

  • 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

• 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

  • • 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 modules running in multidimensional mode

Module 8: Developer API

  • • 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

The Power BI mobile app
• 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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