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Practical Data Analysis: Transform, Model, and Visualize Your Data Through Hands-on Projects, Developed in Open Source Tools - Softcover

 
9781783280995: Practical Data Analysis: Transform, Model, and Visualize Your Data Through Hands-on Projects, Developed in Open Source Tools

Inhaltsangabe

Practical Data Analysis is a practical, step-by-step guide to empower small businesses to manage and analyze your data and extract valuable information from the data. This book is for developers, small business users, and analysts who want to implement data analysis and visualization for their company in a practical way. You need no prior experience with data analysis or data processing; however, basic knowledge of programming, statistics, and linear algebra is assumed.

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Über die Autorin bzw. den Autor

Hector Cuesta holds a B.A in Informatics and M.Sc. in Computer Science. He provides consulting services for software engineering and data analysis with experience in a variety of industries including fi nancial services, social networking, e-learning, and human resources. He is a lecturer in the Department of Computer Science at the Autonomous University of Mexico State (UAEM). His main research interests lie in computational epidemiology, machine learning, computer vision, high-performance computing, big data, simulation, and data visualization. He helped in the technical review of the books, Raspberry Pi Networking Cookbook by Rick Golden and Hadoop Operations and Cluster Management Cookbook by Shumin Guo for Packt Publishing. He is also a columnist at Software Guru magazine and he has published several scientifi c papers in international journals and conferences. He is an enthusiast of Lego Robotics and Raspberry Pi in his spare time. You can follow him on Twitter at https://twitter.com/hmCuesta.

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ISBN 10:  9351107612 ISBN 13:  9789351107613
Verlag: Shroff Publishers & Distribu..., 2014
Softcover

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Cuesta, Hector
Verlag: Packt Publishing, 2013
ISBN 10: 1783280999 ISBN 13: 9781783280995
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Zustand: New. KlappentextPlenty of small businesses face big amounts of data but lack the internal skills to support quantitative analysis. This book explains how to harness the power of data analysis using the latest open source technology so that co. Artikel-Nr. 4278673

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