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Advanced Visualization with Power BI Course Overview

Advanced Visualization with Power BI Course Overview

Advanced Visualization with Power BI is a comprehensive 5-day (40-hour) course designed for IT professionals seeking to enhance their skills in data visualization and reporting. Participants will gain a solid understanding of Power BI's features and benefits, and learn to connect to data sources, prepare data, and create effective visualizations. The course covers advanced techniques such as custom tooltips, DAX functions, and Row-Level Security (RLS) to create dynamic reports. With hands-on exercises, learners will implement real-world applications like collaborating in Power BI Service, creating paginated reports, and integrating Python and R for advanced analytics. By the end, participants will be equipped to leverage Power BI for insightful data storytelling.

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Target Audience for Advanced Visualization with Power BI

The Advanced Visualization with Power BI course equips professionals with essential skills for data analysis and visualization, enabling them to harness the full potential of Power BI for impactful decision-making.


  • Data Analysts
  • Business Analysts
  • Data Scientists
  • BI Developers
  • Report Developers
  • IT Managers
  • Data Engineers
  • Marketing Analysts
  • Financial Analysts
  • Business Intelligence Consultants
  • Data Visualization Specialists
  • Project Managers
  • Product Managers
  • Decision Makers and Executives
  • Professionals involved in data-driven reporting and dashboards


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

Course Overview

The Advanced Visualization with Power BI course equips learners with deep insights into data visualization, advanced data modeling, DAX, and integration techniques to enhance decision-making and data analysis skills using Power BI.

Learning Objectives and Outcomes

  • Understand the key features and differences among Power BI Desktop, Service, and Mobile.
  • Master data preparation and transformation techniques using Power Query.
  • Apply principles of effective data visualization to select appropriate visuals.
  • Utilize advanced visual interaction techniques, including drill down and bookmarks.
  • Implement advanced data modeling concepts and design efficient data schemas.
  • Gain proficiency in using DAX for calculations, measures, and advanced data analysis.
  • Configure Row-Level Security (RLS) to manage data access.
  • Explore collaboration features within the Power BI Service for enhanced teamwork.
  • Create paginated reports using Report Builder and integrate Python and R for advanced analytics.
  • Manage Power BI workspaces and datasets for effective reporting and dashboard distribution.

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