Microsoft Power BI for End Users Course Overview

Microsoft Power BI for End Users Course Overview

The Microsoft Power BI for End Users course provides comprehensive training for individuals looking to harness the power of Power BI to transform raw data into meaningful insights. This course is ideal for Power BI end users and those seeking Power BI end user training. It covers a range of topics from the basics of business intelligence, Power BI tools, and services, to more advanced techniques like data modeling, report design, and using workspaces and dashboards.

Participants will learn to gather requirements, connect to sources, perform data transformations, model data effectively, and create compelling reports and dashboards that provide actionable insights. Additionally, the course includes practical labs to reinforce learning and enable users to apply Power BI features directly to real-world scenarios. By completing this course, learners will be well-equipped to utilize Power BI for their data analysis needs and contribute to data-driven decision-making processes within their organizations.

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1,000

  • Live Online Training (Duration : 16 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
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♱ Excluding VAT/GST

Classroom Training price is on request

  • Live Online Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure you have a successful learning experience in the Microsoft Power BI for End Users course, the following prerequisites are recommended:


  • Basic understanding of data analysis and reporting concepts
  • Familiarity with Microsoft Excel, particularly in functions and formulas
  • Ability to navigate the Windows operating system and use Internet browsers
  • No prior experience with Power BI is required, but an interest in data visualization and business intelligence is beneficial

These prerequisites are designed to provide a baseline for the training, allowing you to fully engage with the course modules and apply the knowledge effectively.


Target Audience for Microsoft Power BI for End Users

This Microsoft Power BI course equips end-users with BI tools, report creation, and data analysis skills essential for data-driven decision-making.


• Business Analysts


• Data Analysts


• BI Professionals


• Project Managers


• IT Professionals


• Marketing Analysts


• Financial Analysts


• Report Developers


• Data Scientists (with a focus on visualization)


• System and Database Administrators


• Professionals seeking to improve reporting processes


• Decision Makers and Managers requiring data insights


• Excel Users transitioning to Power BI


• Consultants offering BI solutions


• End Users involved in business reporting and analytics




Learning Objectives - What you will Learn in this Microsoft Power BI for End Users?

Introduction to Learning Outcomes:

Gain comprehensive insights into business intelligence with Power BI, from data modeling and analysis to creating compelling reports and dashboards for effective data storytelling and decision-making.

Learning Objectives and Outcomes:

  • Understand the fundamental concepts of business intelligence and how Power BI serves as a pivotal tool in BI strategies.
  • Explore the various Power BI tools and services, including the Power BI Report Server and Power BI Online, to manage and deploy BI solutions.
  • Learn the end-to-end process of data gathering, from initial requirements to data discovery and modeling, ensuring accurate representation for analysis.
  • Master the art of extracting, transforming, and loading (ETL) data using Power BI Desktop and Power Query, with a focus on refining datasets and utilizing M code.
  • Develop a robust data model by understanding relationships, cardinality, and applying DAX to design calculated columns and measures.
  • Design interactive and visually appealing reports by adding visualizations, controlling filters, and implementing slicers and drill-throughs.
  • Create and manage workspaces, understand Power BI licensing, and learn to publish and share reports and dashboards efficiently.
  • Integrate Power BI with Excel, understanding the parallels and leveraging the strengths of both platforms for data analysis.
  • Implement on-premises data gateways, schedule data refreshes, and manage security roles for maintaining data integrity and accessibility.
  • Publish apps, customize dashboards, and distribute content to various platforms, ensuring a wide reach and user engagement.