Udemy Microsoft Power Bi - A Complete Introduction 2020 Edition | Course

Overall, I'm very satisfied with this course and would definitely recommend it to anyone looking to learn Power BI.

The section on Data Analysis Expressions (DAX) is handled with appropriate caution. Recognizing that DAX can be a barrier for non-programmers, the course introduces calculated columns first before moving to the more efficient measure columns. Key functions such as CALCULATE , FILTER , and ALL are explained within the context of specific business questions (e.g., calculating percentage of parent totals), providing a scaffolded learning experience.

The Udemy course, Microsoft Power BI - A Complete Introduction [2020 Edition] , taught by Manuel Lorenz and Philipp Munzert, aims to provide a comprehensive entry point into this ecosystem. This paper serves as a critical analysis of the course content, evaluating its success in delivering a "complete" understanding of the software’s capabilities, including the challenges of data modeling and the nuances of the DAX (Data Analysis Expressions) language. Overall, I'm very satisfied with this course and

Over 15 hours of deep-dive content covering advanced features.

The course is structured logically around the natural lifecycle of a Business Intelligence project. The instructors employ a "guided project" methodology, where theoretical concepts are immediately applied to concrete datasets. Key functions such as CALCULATE , FILTER ,

The proliferation of big data has necessitated tools that democratize data analysis, moving capabilities away from exclusive IT departments and into the hands of business analysts and stakeholders. Microsoft Power BI has emerged as a dominant force in this landscape, offering a suite of business analytics tools to analyze data and share insights.

Connecting multiple tables so they "talk" to each other effectively. Over 15 hours of deep-dive content covering advanced

One of the course’s most flexible features is its dual-path approach:

The 2020 release of this course was timely, coinciding with the acceleration of remote work and the increased demand for real-time data monitoring during global economic shifts. The course’s focus on connecting to cloud-based data sources (such as Azure SQL Database) reflects the industry shift toward cloud integration.