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Computing With Data An Introduction To The Data Industry Guy Lebanon

  • SKU: BELL-7303912
Computing With Data An Introduction To The Data Industry Guy Lebanon
$ 31.00 $ 45.00 (-31%)

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Computing With Data An Introduction To The Data Industry Guy Lebanon instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 7.31 MB
Pages: 584
Author: Guy Lebanon, Mohamed El-Geish
ISBN: 9783319981482, 331998148X
Language: English
Year: 2018

Product desciption

Computing With Data An Introduction To The Data Industry Guy Lebanon by Guy Lebanon, Mohamed El-geish 9783319981482, 331998148X instant download after payment.

This book introduces basic computing skills designed for industry professionals without a strong computer science background. Written in an easily accessible manner, and accompanied by a user-friendly website, it serves as a self-study guide to survey data science and data engineering for those who aspire to start a computing career, or expand on their current roles, in areas such as applied statistics, big data, machine learning, data mining, and informatics.
The authors draw from their combined experience working at software and social network companies, on big data products at several major online retailers, as well as their experience building big data systems for an AI startup. Spanning from the basic inner workings of a computer to advanced data manipulation techniques, this book opens doors for readers to quickly explore and enhance their computing knowledge.
Computing with Data comprises a wide range of computational topics essential for data scientists, analysts, and engineers, providing them with the necessary tools to be successful in any role that involves computing with data. The introduction is self-contained, and chapters progress from basic hardware concepts to operating systems, programming languages, graphing and processing data, testing and programming tools, big data frameworks, and cloud computing.
The book is fashioned with several audiences in mind. Readers without a strong educational background in CS--or those who need a refresher--will find the chapters on hardware, operating systems, and programming languages particularly useful. Readers with a strong educational background in CS, but without significant industry background, will find the following chapters especially beneficial: learning R, testing, programming, visualizing and processing data in Python and R, system design for big data, data stores, and software craftsmanship.

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