Udemy Microsoft Power Bi - A Complete Introduction 2020 Edition Course !link! Jun 2026
4.5/5 Stars I recently completed the "Microsoft Power BI - A Complete Introduction 2020 Edition" course on Udemy, and I must say it's been an incredible learning experience. As a business analyst, I've been looking to enhance my data visualization skills, and this course has provided me with a comprehensive understanding of Power BI. Pros:
Thorough Coverage : The course covers everything from the basics to advanced topics, including data preparation, data modeling, and visualization. The instructor, [Instructor's Name], does an excellent job of breaking down complex concepts into easy-to-understand modules. Hands-on Exercises : The course includes plenty of hands-on exercises and practical examples, which helps to reinforce learning and build confidence in using Power BI. Real-world Examples : The instructor uses real-world examples to illustrate key concepts, making it easier to relate to everyday business scenarios. Up-to-date Content : The course is well-updated to reflect the latest features and best practices in Power BI as of 2020.
Cons:
Pacing : Some students may find the instructor's pace a bit too slow, particularly if they're already familiar with some of the topics. However, I found the detailed explanations helpful in ensuring I understood each concept. Limited Advanced Topics : While the course covers a wide range of topics, some students may find that it doesn't dive deep enough into advanced topics, such as DAX scripting or custom visuals. Up-to-date Content : The course is well-updated to
Overall Experience: The course is well-structured, easy to follow, and includes a wealth of resources, including exercise files, quizzes, and a supportive community. I appreciate the instructor's willingness to engage with students and provide feedback. Recommendation: If you're new to Power BI or looking to improve your skills, I highly recommend this course. It's an excellent introduction to the tool and provides a solid foundation for more advanced learning. Even experienced users may find it helpful to refresh their skills and learn about new features. Who Should Take This Course:
Business analysts Data analysts Financial professionals Marketing professionals Anyone interested in data visualization and business intelligence
Udemy Course Details:
Course Name: Microsoft Power BI - A Complete Introduction 2020 Edition Instructor: [Instructor's Name] Course Length: [Number] hours Rating: 4.5/5 stars (based on [Number] reviews)
Overall, I'm very satisfied with this course and would definitely recommend it to anyone looking to learn Power BI.
Title: Leveraging Microsoft Power BI for Business Intelligence: A Review of the "Complete Introduction" Methodology and Application Abstract In the era of data-driven decision-making, the ability to transform raw data into actionable insights is paramount. This paper reviews the pedagogical structure and technical content of the Udemy course, Microsoft Power BI - A Complete Introduction [2020 Edition] . By analyzing the course’s modular approach to ETL (Extract, Transform, Load), data modeling, and visualization, this paper assesses the efficacy of the curriculum in bridging the gap between technical data handling and executive-level reporting. The review highlights the course’s emphasis on the end-to-end workflow of Power BI, from connecting to disparate data sources to publishing dynamic dashboards, positioning it as a viable catalyst for digital literacy in modern enterprises. specifically the "
1. Introduction 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. 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. 2. Course Structure and Pedagogy 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. The curriculum is segmented into three primary phases:
Data Connectivity and Transformation: The initial focus is on the "Power Query" engine. The course demonstrates the connection to various data sources (Excel, CSV, SQL, Web) and the crucial process of cleaning and shaping data. The emphasis on ETL processes aligns with industry standards for data hygiene. Data Modeling: The intermediate section addresses the backbone of any report: the data model. The instructors simplify complex database concepts, specifically the "Star Schema" versus "Snowflake Schema," teaching students how to optimize table relationships for performance. Visualization and Analysis: The final phase transitions to the reporting layer, utilizing the standard Power BI visuals and introducing the DAX language for calculated measures.