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Course Skill Level:


Course Duration:

3 day/s

  • Course Delivery Format:

    Live, instructor-led.

  • Course Category:

    Big Data & Data Science

  • Course Code:


Who should attend & recommended skills:

Professionals using data management tools for numerical or general data analysis

Who should attend & recommended skills

  • 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.
  • This course is also designed for professionals looking to take the Exam 70-778: Analyzing and Visualizing Data with Microsoft Power BI certification exam.
  • Managing data with a spreadsheet program such as Microsoft Excel or Google Sheets: Intermediate (1-5 years’ experience) or 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
  • Other data analytics tools, such as Google Analytics or Customer Relationship Management (CRM) tools
  • Database Design Concepts
  • Programming Constructs: Basic (1-2 years’ experience) such as looping and branching not required but beneficial
  • Google Analytics: Foundation (Second Edition): Basic (1-2 years’ experience) not required but beneficial
  • Database Design: A Modern Approach: Basic (1-2 years’ experience) not required but beneficial
  • Microsoft Office Excel 2016: Data Analysis with Power Pivot: Basic (1-2 years’ experience) not required but beneficial

About this course

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 data scientists, or any professional, can 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 allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI’s data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.

Skills acquired & topics covered

  • 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 breakdown / modules

  • Data Analysis and Visualization for Business Intelligence
  • Self-Service BI with Microsoft Power BI

  • Create Data Connections
  • Topic B:Model Data with Relationships
  • Save Power BI Files

  • Clean and Transform Data with the Query Editor
  • Topic B:Shape Data with the Query Editor
  • Combine and Manage Data Rows

  • Create Visualizations in Power BI
  • Chart Data in Power BI

  • Enhance Analysis with Customized Visuals and Pages
  • Enhance Analysis with Tooltips

  • Create Calculations with Data Analysis Expressions (DAX)
  • Create Calculated Measures and Conditional Columns

  • Create and Manage Data Hierarchies
  • Topic B:Filter and Slice Reports
  • Create Dashboards in Power BI

  • Create Calculated Tables, Variables, and Parameters
  • Topic B:Enhance Visuals with Statistical Analysis
  • Review Analysis Services Connection Options

  • Publish Reports
  • Share Reports and Dashboards

  • Access Reports Using Power BI Mobile
  • Extend Access with the Power BI API