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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Hector Cuesta
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 financial 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 scientific 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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Paperback. Condition: Good. Plenty 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 companies may provide better customer service, visualize customer needs and even obtain fresh insights about the performance of previous products. Seller Inventory # CIN1783280999G
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