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Advanced Data Visualization Techniques in Power BI Course Overview

Advanced Data Visualization Techniques in Power BI Course Overview

Elevate your data analysis skills with our Advanced Data Visualization Techniques in Power BI course. This comprehensive program focuses on enhancing your ability to create impactful visualizations that tell compelling stories from data. You will learn essential advanced visualization techniques, explore custom visuals, and master interactive dashboards. The course aims to equip you with the skills to transform complex data into intuitive insights, making it easier for stakeholders to grasp key information. By the end, you will confidently apply these techniques to real-world projects, improving your organization’s decision-making processes and data presentation capabilities. Join us to unlock the true potential of Power BI!

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Course Fee 600
Total Fees
600 (USD)
  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
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  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request
Koeing Learning Stack

Koenig Learning Stack

Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request More Information

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Target Audience for Advanced Data Visualization Techniques in Power BI

Advanced Data Visualization Techniques in Power BI empowers professionals to create compelling visual narratives from data, enhancing decision-making processes across various industries.


  • Data Analysts
  • Business Intelligence Developers
  • Data Scientists
  • Marketing Analysts
  • Financial Analysts
  • Business Analysts
  • IT Professionals
  • Project Managers
  • Operations Managers
  • Product Managers
  • Technical Consultants
  • Data Engineers
  • Management Executives


Learning Objectives - What you will Learn in this Advanced Data Visualization Techniques in Power BI?

Introduction:
The Advanced Data Visualization Techniques in Power BI course equips learners with in-depth skills to create compelling visualizations, enabling them to transform complex data into insightful graphical representations for informed decision-making.

Learning Objectives and Outcomes:

  • Master advanced Power BI visualization features and techniques.
  • Create interactive dashboards and reports tailored to user needs.
  • Utilize DAX (Data Analysis Expressions) for enhanced data analysis.
  • Implement custom visuals to convey data insights effectively.
  • Analyze and visualize data trends using advanced analytics tools.
  • Learn best practices for designing intuitive and informative visuals.
  • Explore data storytelling techniques to engage stakeholders.
  • Optimize reports for performance and usability.
  • Apply data transformation techniques using Power Query.
  • Integrate external data sources for comprehensive visual analysis.

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