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Predictive Analytics using Rattle and Qlik Sense. Create comprehensive solutions for predictive analysis using Rattle and share them with Qlik Sense Ferran Garcia Pagans

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Predictive Analytics using Rattle and Qlik Sense. Create comprehensive solutions for predictive analysis using Rattle and share them with Qlik Sense Ferran Garcia Pagans - okladka książki

Predictive Analytics using Rattle and Qlik Sense. Create comprehensive solutions for predictive analysis using Rattle and share them with Qlik Sense Ferran Garcia Pagans - okladka książki

Predictive Analytics using Rattle and Qlik Sense. Create comprehensive solutions for predictive analysis using Rattle and share them with Qlik Sense Ferran Garcia Pagans - audiobook MP3

Predictive Analytics using Rattle and Qlik Sense. Create comprehensive solutions for predictive analysis using Rattle and share them with Qlik Sense Ferran Garcia Pagans - audiobook CD

Autor:
Ferran Garcia Pagans
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
242
Dostępne formaty:
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     ePub
     Mobi
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If you are a business analyst who wants to understand how to improve your data analysis and how to apply predictive analytics, then this book is ideal for you. This book assumes you have some basic knowledge of statistics and a spreadsheet editor such as Excel, but knowledge of QlikView is not required.

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O autorze książki

Ferran Garcia Pagans studied software engineering at the University of Gironaand Ramon Llull University. After that, he did his masters in business administration at ESADE Business School. He has 16 years of experience in the software industry,where he has helped customers from different industries to create software solutions. He started his career working at the Ramon Llull University as a teacher and researcher.Then, he moved to the Volkswagen group as a software developer. After that, he worked with Oracle as a Java, SOA, and BPM specialist. Currently, he is a solution architect at Qlik, where he helps customers to achieve competitive advantages with data applications.

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