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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  • Live Training (Duration : 16 Hours)
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♱ Excluding VAT/GST

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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.

Technical Topic Explanation

Data modeling

Data modeling is the process of creating a visual representation of a system or information. It systematically structures data so it can be managed effectively and used easily. The model outlines how data is connected and processed within a system, helping to clarify how things relate and operate. This is crucial in developing efficient databases and software applications. Good data models enhance understanding and enable better design decisions, particularly for users and creators of business intelligence tools like Power BI. It's used to ensure that data handled in such tools remains accurate, understandable, and useful for decision-making.

Report design

Report design involves creating structured presentations of data to facilitate decision-making and insights. This process includes layout planning, selecting what data to display, and how to visually represent it, usually through tables, charts, and graphs. Effective report design enhances understanding and helps highlight key trends and outliers in the data. Tools like Power BI are widely used, as they provide robust functionalities tailored for end users, boosting the comprehensibility and actionability of reports. Proper Power BI training for end users ensures they can leverage this tool to create impactful and informative reports efficiently.

Using workspaces

Using workspaces in technology refers to virtual environments where teams can collaborate and manage their projects efficiently. These digital spaces allow users to organize their resources, share information, and access tools necessary for their tasks, such as software applications and data repositories. Workspaces often feature integrated communication tools to facilitate seamless interactions between team members, supporting better workflow management and productivity. They can be customized to meet specific needs of various projects or departments within an organization, providing a centralized platform that helps streamline operations and enhance teamwork.

Data transformations

Data transformations involve converting data from one format or structure into another to make it more useful and accessible. This process is crucial in data analysis and business intelligence tools like Power BI. For Power BI end users, data transformation is a key step in preparing data for visualization and insights. Through manipulating data fields, filtering irrelevant information, and creating new relationships between data points, end users can enhance data clarity and relevance, enhancing their reports and decision-making capabilities. Such transformations help tailor the data according to specific needs or to highlight particular angles within the data.

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.