Microsoft Power BI - Data Analysis Professional

As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage.

The creation of data-backed visualizations is a key way that you as a data scientist or other professional can explore, analyze, and report insights and trends from data. Microsoft® Power BI® software is designed to connect you to a wide range of data sources, and allows you to quickly create visualizations of connected data to gain insights, show trends, and create powerful reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing you to create compelling and interactive worksheets, dashboards, and stories that bring your data to life and turn them into thoughtful action.

Microsoft Power BI - Data Analysis Professional

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Learning Objectives

In this course, you will explore and visualize data with Power BI.

  • You will:
  • Analyze data with self-service BI.
  • Connect to data sources.
  • Perform advanced data modeling and shaping.
  • Visualize data with Power BI.
  • Enhance data analysis.
  • Model data with calculations.
  • Create interactive visualizations.
  • Perform advanced analysis.
  • Publish and share reports and dashboards.
  • Extend access to Power BI.


    Course Details

    Course Outline

    1 - Analyzing Data with Self-Service BI
  • Topic A: Data Analysis and Visualization for Business Intelligence
  • Topic B: Self-Service BI with Microsoft Power BI
  • 2 - Connecting to Data
  • Topic A: Create Data Connections
  • Topic B: Model Data with Relationships
  • Topic C: Save Power BI Files
  • 3 - Performing Advanced Data Modeling and Shaping
  • Topic A: Clean and Transform Data with the Query Editor
  • Topic B: Shape Data with the Query Editor
  • Topic C: Combine and Manage Data Rows
  • 4 - Visualizing Data with Power BI
  • Topic A: Create Visualizations in Power BI
  • Topic B: Chart Data in Power BI
  • 5 - Enhancing Data Analysis
  • Topic A: Enhance Analysis with Customized Visuals and Pages
  • Topic B: Enhance Analysis with Tooltips
  • 6 - Modeling Data with Calculations
  • Topic A: Create Calculations with Data Analysis Expressions (DAX)
  • Topic B: Create Calculated Measures and Conditional Columns
  • 7 - Creating Interactive Visualizations
  • Topic A: Create and Manage Data Hierarchies
  • Topic B: Filter and Slice Reports
  • Topic C: Create Dashboards in Power BI
  • 8 - Performing Advanced Analysis
  • Topic A: Create Calculated Tables, Variables, and Parameters
  • Topic B: Enhance Visuals with Statistical Analysis
  • Topic C: Review Analysis Services Connection Options
  • 9 - Publishing and Sharing Reports and Dashboards
  • Topic A: Publish Reports
  • Topic B: Share Reports and Dashboards
  • 10 - Extending Access to Power BI
  • Topic A: Access Reports Using Power BI Mobile
  • Topic B: Extend Access with the Power BI API
  • Actual course outline may vary depending on offering center. Contact your sales representative for more information.

    Who is it For?

    Target Audience

    This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data-management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, then shaping and combining data for the purpose of analysis, and are looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients.


    Other Prerequisites

    To ensure your success, you should have experience managing data with a spreadsheet program such as Microsoft Excel or Google Sheets. To meet this prerequisite, you can take any one or more of the following courses:

    Microsoft® Office Excel® 2016: Part 1 (Desktop/Office 365™)

    Microsoft® Office Excel® 2016: Part 2

    Using Google G Suite™

    Optionally, having experience with other data analytics tools, such as Google Analytics™ or Customer Relationship Management (CRM), as well as an understanding of database design concepts and basic programming constructs such as looping and branching, will help you get even more out of this course. The following courses are helpful but not required:

    Google Analytics™: Foundation (Second Edition)

    Database Design: A Modern Approach

    Microsoft® Office Excel® 2016: Data Analysis with Power Pivot

    Microsoft Power BI - Data Analysis Professional

    Course Length : 3 Days (24 Hours)

    There are currently no scheduled dates for this course. Please contact us for more information.

    Need Help Picking the Right Course? Give us a call! 901-375-1533