Predictive Analytics using Rattle and Qlik Sense

Ferran Garcia Pagans

ISBN 10: 1784395803 / ISBN 13: 9781784395803

Published by Packt Publishing, 2015

About this Item

Predictive Analytics using Rattle and Qlik Sense | Ferran Garcia Pagans | Taschenbuch | Kartoniert / Broschiert | Englisch | 2015 | Packt Publishing | EAN 9781784395803 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 104542752

Bibliographic Details

• Title: Predictive Analytics using Rattle and Qlik Sense
• Publisher: Packt Publishing
• Publication Date: 2015
• Language: English
• ISBN 10: 1784395803
• ISBN 13: 9781784395803
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 191H x 14D millimeters 235 millimeters width by 191 millimeters height by 14 millimeters depth
• Weight: 460 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

If you are 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 to have some basic knowledge of Qlikview, but no knowledge of implementing predictive analysis with Qlikview. It would also be helpful to be familiar with basic concepts of statistics and a spreadsheet editor like Excel.

About the Author

Ferran Garcia Pagans

Ferran Garcia Pagans studied software engineering at the University of Girona and 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 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.