96 Common Challenges in Power Query
practical solutions for mastering data transformation in excel and power bi
$139.99
- Paperback
684 pages
- Release Date
16 July 2025
Summary
Power Query Mastery: Conquer 96 Common Challenges
This comprehensive guide is designed to address the most frequent and challenging issues faced by users of Power Query, a powerful data transformation tool integrated into Excel, Power BI, and Microsoft Azure. By tackling 96 real-world problems with practical, step-by-step solutions, this book is an essential resource for data analysts, Excel enthusiasts, and Power BI professionals. It aims to enhance your data transformation skills …
Book Details
| ISBN-13: | 9798868812873 |
|---|---|
| Author: | Omid Motamedisedeh |
| Publisher: | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG |
| Imprint: | APress |
| Format: | Paperback |
| Number of Pages: | 684 |
| Release Date: | 16 July 2025 |
| Weight: | 0g |
| Dimensions: | 254mm x 178mm |
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About The Author
Omid Motamedisedeh
Omid Motamedisedeh is a seasoned data analyst, educator, and author with extensive experience in business intelligence and data visualization. Based in Australia, he specializes in leveraging Microsoft tools to provide practical solutions for complex data challenges.
Omid is the author of eight books, seven written in Persian and one in English, covering a wide range of topics, including Excel, data visualization, and Power Query. His works are known for their clear explanations and actionable insights, catering to data professionals, students, and educators alike.
Holding a PhD in Industrial Engineering, Omid combines academic depth with over a decade of hands-on experience in the IT industry, where he has served as a consultant and manager. His professional journey includes implementing data-driven strategies, optimizing processes, and mentoring teams to achieve their analytical goals.
Omid is deeply committed to education and knowledge sharing. Beyond writing, he conducts workshops, creates YouTube tutorials, and mentors aspiring data analysts.
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