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 is founder and Chief Data Scientist at Dataxios, a machine intelligence research company. Holds a BA in Informatics and a M.Sc. in Computer Science. He provides consulting services for data-driven product design with experience in a variety of industries including financial services, retail, fintech, e-learning and Human Resources. He is an enthusiast of Robotics in his spare time. You can follow him on Twitter at https://twitter.com/hmCuesta.
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Seller: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 1783280999-8-1
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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 # 00105475989
Seller: World of Books Inc, Montgomery, IL, U.S.A.
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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