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Total Size:
109.6 MB
Info Hash:
50E0A82B424350A5E83B2FF8617AC9C8CF8E4214
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Added:
April 22, 2026, 2:58 p.m.
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(Last updated: April 22, 2026, 3:04 p.m.)
| File | Size |
|---|---|
| Maslyuk D. Collect, Combine, and Transform Data Using Power Query...2ed 2025.pdf | 37.0 MB |
| Files.zip | 72.6 MB |
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SOURCE: Maslyuk D. Collect, Combine, and Transform Data Using Power Query...2ed 2025
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MEDIAINFO
Textbook in PDF format Transform your data analysis experience with Power Query, the ultimate tool for importing, reshaping, and cleansing data through a user-friendly interface. Whether you’re using Power BI, Excel, or other Microsoft products, Power Query’s capabilities are at your fingertips. Renowned Power Query experts Daniil Maslyuk and Gil Raviv guide you through mastering this indispensable tool, helping you eliminate tedious manual data preparation, tackle common issues, and avoid potential pitfalls. In this updated edition, you’ll delve into comprehensive analytics challenges, seamlessly integrating your skills into a realistic, final project. By the end, you’ll possess the expertise to handle any data and convert it into actionable insights. You will learn how to: Effortlessly prepare data by utilizing Power Query in Power BI and Excel to transform your data quickly and efficiently Overcome common data preparation problems with intuitive mouse clicks and straightforward formula edits Combine data from various sources, multiple queries, and mismatched tables with ease Reshape tables to suit your analysis needs Use the Power Query M formula language to create flexible data mashups and tailor transformations to your requirements Address and overcome collaboration challenges by using Power Query’s powerful features Gain crucial insights from text feeds by enhancing your data analysis capabilities Profile data, diagnose queries, improve query performance, and more! About This Book For everyone who wants to get more done with Power Query in less time For business and financial professionals, developers, entrepreneurs, students, and others who need to efficiently manage and analyze data
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