Enroll Course: https://www.udemy.com/course/advanced-dax-r/
Are you a business user comfortable with the basics of DAX and looking to elevate your data analysis skills in Power BI, Analysis Services, or Power Pivot for Excel? Then the ‘Расширенный/Advanced DAX для бизнес-пользователей’ course on Udemy is precisely what you need. This course is not for beginners; it assumes a solid understanding of DAX fundamentals and data modeling concepts like relationships and filter context. If you’re new to DAX, the instructor highly recommends completing their foundational courses on Power BI or Power Query and Pivot first.
This course’s strength lies in its laser focus on advanced DAX calculations. It deliberately avoids delving into Power Query, data modeling intricacies, or report visualization, ensuring that every moment is dedicated to mastering the DAX language. The curriculum is built upon official Microsoft learning materials, enriched with the instructor’s extensive practical experience in applying advanced DAX techniques. What truly sets this course apart is its hands-on approach. With nearly 50 practical assignments, students are given ample opportunity to solidify their understanding and confidently implement complex DAX formulas.
The instructor is a seasoned data analysis professional with expertise across the Microsoft data stack (Excel, Power BI), predictive analytics software, and even Data Science for AI systems. Their credentials extend to being a published author of popular business literature, including a best-selling Russian book on data analysis for non-analysts and an early guide to Power Query for Excel and Power BI. This blend of academic rigor and real-world application makes the learning experience invaluable.
If you’re ready to move beyond basic aggregations and unlock the true power of DAX for sophisticated business insights, this course is a must-have. It’s an investment in deepening your analytical capabilities and becoming a true DAX expert.
Enroll Course: https://www.udemy.com/course/advanced-dax-r/