Power BI is a powerful data visualization and analytics tool that enables users to create interactive dashboards and reports. To make the most out of your Power BI projects, ChatGPT can provide expert advice and guidance on how to effectively use Power BI, offering insights and recommendations for optimizing your Power BI projects. ChatGPT can assist in creating visually appealing visualizations, optimizing data models, and exploring advanced analytics capabilities.
This course begins with a description and introduction of ChatGPT with Power BI Desktop, its advantages and features, and the use cases in detail. You will learn about dealing with changing Excel sheet names, handling file location changes, creating and using template files, and understanding the different file structure issues. We will then explore circular dependency errors and how to fix them using Power BI. We will advance to understand multiple folder data extraction and finally explore and clearly understand the new DAX functions (Offset, Index, and Window).
Upon completing the course, you will learn to solve various problems using Excel files and Power BI Data sources and best practices; solve circular dependencies in Power BI, the M Language, and DAX functions; and use Power BI template files to enhance data modeling/analysis.
All resources are available at: https://github.com/PacktPublishing/Power-BI-Best-Project-Tips-and-Trick…
publication date
2023-04-27
what you will learn
Learn to deal with file location changes in Power BI
Handle Power BI by combining Excel files with different structures
Efficiently extract data from multiple folders in Power BI
Deep dive and explore the new DAX functionality
Learn to handle Excel sheet renaming issues in bulk
Understand circular dependency errors and how to fix them
key features
The course provides an in-depth conceptualization of the Power BI best tips and tricks for projects * Clearly understand circular dependency errors in relationships between tables and how to fix them * Gain mastery over Power BI multiple Excel files with different file structures and modifications
approach
The course is designed to deliver classroom-style on-screen presentations and demonstrations of the various concepts to be covered during the course. This course focuses strongly on Excel data sources and solving data issues with explanations and presentations with Power BI Desktop live to understand better.
audience
This course is aimed at individuals wanting to become better Power BI developers or solve data issues with Excel files in Power BI. Data analysts, those wishing to follow this career path, and business users who work with Power BI and need to create DAX calculations will immensely benefit from this course. The prerequisites include having basic Power BI knowledge and attending the author’s Power BI Masterclass for beginners to advanced first as an advantage. This course focuses strongly on Excel data sources and solving data issues and does not cover visualizations in Power BI Desktop.
short description
This compact crash course teaches learners to optimize their Microsoft Power BI use, gain insights into circular dependency errors and the new DAX functions, and use Power BI template files to enhance data modeling/analysis. The course provides guidance and real-world examples to streamline Power BI projects and achieve data visualization goals effectively.
subtitle
Incorporate Excel files in Power BI templates and solve circular dependency errors in Power BI Desktop
keywords
Power BI Desktop, circular dependencies, DAX functionality, machine language, Power BI data source, Power BI templates
Product ISBN
9781805128557
