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Power BI advanced with Embedding Course Overview

Power BI advanced with Embedding Course Overview

The Power BI Advanced with Embedding course is a comprehensive educational program aimed at learners seeking to deepen their expertise in Power BI, focusing on embedding and advanced features. This course covers the entire spectrum of Power BI capabilities, from the fundamental aspects of Data importing and Report creation to the more complex tasks of data modeling, DAX calculations, and Visualizations using Python.

Learners will start with Module 1, gaining foundational knowledge on how to get started with Power BI, access multiple data sources, and handle import errors. This sets the stage for Module 2, where they will learn to enhance data structures and design effective data models. Module 3 dives into DAX for advanced calculations, while Module 4 and Module 5 focus on Creating interactive, paginated reports, and dashboards, enhancing the storytelling power of data.

With Module 6, Managing workspaces and datasets becomes the focus, preparing learners for Module 7, which is dedicated to Embedding Power BI components using Power BI Service API and Power BI Embedded. Finally, Module 8 explores securing datasets with Row Level Security (RLS), ensuring learners understand how to implement dynamic security measures.

By the end of the course, participants will be equipped with the skills to create comprehensive reports, embed analytics, and secure data effectively, making them valuable assets in any data-driven environment.

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(without exam) 		2,250 (USD)
  • Live Training (Duration : 56 Hours)
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Power BI advanced with Embedding

Target Audience for Power BI advanced with Embedding

  1. The Power BI Advanced with Embedding course is designed for professionals seeking to master data visualization, DAX, and advanced Power BI features.


  2. Target Audience for the Power BI Advanced with Embedding Course:


  • Business Intelligence Professionals
  • Data Analysts
  • BI Developers
  • Report Developers
  • Data Scientists who use Python for visualization
  • Solution Architects
  • IT Professionals tasked with implementing BI solutions
  • Power BI Users aiming to enhance their skills
  • Database Administrators
  • Project Managers overseeing BI projects
  • Professionals responsible for data reporting and analytics
  • Software Engineers who integrate Power BI into applications
  • Technical Leads managing Power BI resource teams
  • Data Consultants providing insights to business stakeholders
  • Product Managers involved in data-driven decision-making processes


Learning Objectives - What you will Learn in this Power BI advanced with Embedding?

Introduction to Learning Outcomes and Concepts Covered:

Gain advanced skills in Power BI, including data modeling, DAX calculations, creating interactive reports, embedding Power BI components, and securing datasets with RLS.

Learning Objectives and Outcomes:

  • Understand the fundamentals of Power BI and navigate the interface to load and transform data from various sources.
  • Enhance data structure and design a data model for effective data visualization and reporting.
  • Master Data Analysis Expressions (DAX) to perform advanced calculations and add intelligence to the data model.
  • Create interactive and visually compelling reports using Power BI Desktop and integrate advanced data visualization techniques.
  • Learn to work with Python scripts within Power BI to enhance data analysis and reporting capabilities.
  • Develop skills to build real-time dashboards and gain insights into creating effective data presentations.
  • Manage Power BI workspaces and datasets, ensuring organized access and maintenance of BI assets.
  • Program with the Power BI Service API and develop solutions using Power BI Embedded for seamless integration into applications.
  • Implement Row Level Security (RLS) within Power BI projects to ensure data security and compliance, using both User-Owns-Data and App-Owns-Data models.
  • Understand and apply dynamic RLS using DAX and generate embed tokens that enforce RLS roles, securing your embedded analytics.

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