Power BI Paginated Reports in a Day Course Overview

Power BI Paginated Reports in a Day Course Overview

The "Power BI Paginated Reports in a Day" course is a comprehensive training program designed to educate learners on creating, publishing, and distributing traditional paginated reports within the Power BI service. It caters to professionals looking to develop high-precision, print-ready, and advanced data operations reports.

Module 1: Power BI Reporting covers the fundamentals of Power BI report capabilities, setting the foundation for Creating detailed and data-rich reports. Module 2: Designing Report Layouts focuses on the aesthetics and structure of reports, ensuring clarity and impact. Module 3: Retrieving Report Data teaches the retrieval of relevant data from various sources for insightful reporting. Module 4: Working with Parameters guides users on how to make reports dynamic and user-interactive. Module 5: Visualizing Report Data delves into data presentation through charts, graphs, and tables. Module 6: Adding Interactivity Features covers the integration of interactive elements, enhancing the user experience. Finally, Module 7: Beyond Report Development looks at the lifecycle of a report, including management and distribution strategies.

By participating in this course, learners will gain the necessary skills to design, develop, and manage tailored paginated reports, ultimately enhancing their data reporting and analytics capabilities within Power BI.

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Course Fee 525
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525 (USD)
  • Live Training (Duration : 8 Hours)
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  • Classroom Training fee on request

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  • Classroom Training fee on request

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Target Audience for Power BI Paginated Reports in a Day

  1. "Power BI Paginated Reports in a Day" is an intensive course designed for professionals keen on mastering report development and Data Visualization.


  2. Target Audience for Power BI Paginated Reports in a Day:


  • Data Analysts
  • Business Intelligence Professionals
  • Report Developers
  • Business Analysts
  • IT Professionals interested in data reporting
  • Data Scientists needing reporting capabilities
  • Database Administrators who prepare reports
  • Project Managers who oversee BI projects
  • Power BI Users seeking to enhance their reporting skills
  • Excel Users transitioning to Power BI
  • Data Consultants providing reporting solutions
  • System Analysts involved in data projects
  • Managers requiring reporting insights from data
  • Marketing Analysts dealing with data-rich reports


Learning Objectives - What you will Learn in this Power BI Paginated Reports in a Day?

Introduction to Course Learning Outcomes

The "Power BI Paginated Reports in a Day" course equips students with the skills to design, create, and publish custom reports using Power BI Report Builder.

Learning Objectives and Outcomes

  • Understanding Power BI Reporting:

    • Gain a foundational understanding of Power BI Paginated Reports and their role within the Power BI ecosystem.
  • Designing Report Layouts:

    • Learn how to design report layouts effectively, ensuring a clear presentation of data.
  • Retrieving Report Data:

    • Master the techniques for connecting to data sources and retrieving data for reporting purposes.
  • Working with Parameters:

    • Understand how to create and use parameters to filter and customize report data dynamically.
  • Visualizing Report Data:

    • Develop skills in visualizing data through tables, charts, and other graphical representations within paginated reports.
  • Adding Interactivity Features:

    • Learn to add interactive elements such as drill-through actions, document maps, and sub-reports to enhance user engagement.
  • Publishing Reports:

    • Acquire the knowledge needed to publish reports to the Power BI service and manage report distribution.
  • Report Formatting and Styling:

    • Get hands-on experience in formatting reports, including styling, pagination, and layout adjustments for a professional finish.
  • Data Expressions and Functions:

    • Familiarize with the use of expressions and functions to manipulate data and create calculated fields within reports.
  • Advanced Data Retrieval and Processing:

    • Delve into advanced data processing techniques, such as creating data-driven subscriptions and handling large datasets efficiently.

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