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Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop - Softcover
Synopsis
Analyze your company’s data quickly and easily using Microsoft’s latest tools. You will learn to build scalable and robust data models to work from, clean and combine different data sources effectively, and create compelling visualizations and share them with your colleagues.
Author Dan Clark takes you through each topic using step-by-step activities and plenty of screen shots to help familiarize you with the tools. This second edition includes new material on advanced uses of Power Query, along with the latest user guidance on the evolving Power BI platform. Beginning Power BI is your hands-on guide to quick, reliable, and valuable data insight.
What You'll Learn
- Simplify data discovery, association, and cleansing
- Build solid analytical data models
- Create robust interactive data presentations
- Combine analytical and geographic data in map-based visualizations
- Publish and share dashboards and reports
Who This Book Is For
Business analysts, database administrators, developers, and other professionals looking to better understand and communicate with data
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About the Author
Dan Clark is a senior business intelligence (BI)/programming consultant specializing in Microsoft technologies. He is focused on learning new BI/data technologies and on training others how to best implement the technology. Dan has published several books and numerous articles on .NET programming and BI development. He is a regular speaker at various developer/database conferences and user group meetings and enjoys interacting with the Microsoft developer and database communities. In a previous life, he was a physics teacher; he is still inspired by the wonder and awe of studying the universe and figuring out why things behave the way they do.
Review
“The goal of this book is to expose readers to the various tools in Microsoft’s self-service BI stack, built over Excel 2016, comprising Power Pivot, Power BI Desktop, Power Query, and DAX to enable them to analyze and gain insight into their data. ... The book is easy to read and use because of its lucid style. It should interest Excel users looking to enhance their data analysis skills.” (Computing Reviews, August, 2017)
"About this title" may belong to another edition of this title.
- PublisherApress
- Publication date2017
- ISBN 10 1484225767
- ISBN 13 9781484225769
- BindingPaperback
- LanguageEnglish
- Edition number2
- Number of pages368
- Rating
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Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop
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Apress (edition 2nd ed.), 2017
ISBN 10: 1484225767
ISBN 13: 9781484225769
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