Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3)

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2 days - $790

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” is a direct result of the popularity and growth 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 advantages.
Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft® Power BI® software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to

This Course is for…

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, as well as shaping and combining data for the purpose of analysis. They are also 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.
This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification.

Please note this class is for our business customers and is not approved for consumer education or eligible for veteran benefits. If you are interested in our veteran and individual consumer programs please visit our Career Training page.

Schedule / Enroll
06/19/20249:00 AM - 3:00 PM ET$790.00
  • Course Outline
  • Objectives
  • 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 Sources

    • Topic A: Create Data Connections
    • Topic B: Configure and Manage Data Relationships
    • Topic C: Save Files in Power BI

    3 – Performing Data Cleaning, Profiling, and Shaping

    • Topic A: Clean, Transform, and Load Data with the Query Editor
    • Topic B: Profile Data with the Query Editor
    • Topic C: Shape Data with the Query Editor
    • Topic D: 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: Customize Visuals and Pages
    • Topic B: Incorporate 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

    8 – Using Advanced Analysis Techniques

    • Topic A: Create Calculated Tables, Variables, and Parameters
    • Topic B: Enhance Visuals with Statistical Analysis
    • Topic C: Perform Advanced Analysis

    9 – Enhancing Reports and Dashboards

    • Topic A: Enhance Reports
    • Topic B: Enhance Dashboards

    10 – Publishing and Sharing Reports and Dashboards

    • Topic A: Publish Reports
    • Topic B: Create and Manage Workspaces
    • Topic C: Share Reports and Dashboards

    11 – Extending Power BI Beyond the Desktop

    • Topic A: Use Power BI Mobile
    • Topic B: Extend Access with the Power BI API
  • In this course, you will analyze data with Microsoft Power BI. You will:
    Analyze data with self-service BI.
    Connect to data sources.
    Perform data cleaning, profiling, and shaping.
    Visualize data with Power BI.
    Enhance data analysis by adding and customizing visual elements.
    Model data with calculations.
    Create interactive visualizations.
    Use advanced analysis techniques.
    Enhance reports and dashboards.
    Publish and share reports and dashboards.
    Extend Power BI beyond the desktop.