Power BI advanced with Embedding Course Overview

To successfully undertake the Power BI Advanced with Embedding course, participants should meet the following prerequisites:

• Basic understanding of data analysis and reporting concepts.
• Familiarity with Microsoft Excel functions and formulas.
• Experience with handling and interpreting data sets.
• Basic knowledge of database concepts and data modeling.
• Prior exposure to Power BI Desktop for creating simple reports and dashboards is advantageous but not mandatory.
• An understanding of programming concepts is helpful, especially for embedding Power BI components, but introductory training will be provided during the course.
• Willingness to learn new skills and explore advanced features of Power BI.

Please note that while these prerequisites are aimed at ensuring a fruitful learning experience, our instructors are dedicated to assisting all learners, regardless of their initial skill level, in mastering the course content.

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.