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Data Science for Transport: A Self-Study Guide with Computer Exercises

Data Science for Transport: A Self-Study Guide with Computer Exercises

Hardcover

Series: Springer Textbooks in Earth Sciences, Geography and Environm

Technology & EngineeringApplicationsUnited States Politics

ISBN10: 3319729527
ISBN13: 9783319729527
Publisher: Springer
Published: Mar 13 2018
Pages: 185
Weight: 1.26
Height: 0.50 Width: 7.00 Depth: 10.00
Language: English
The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases. Recent years have seen a new wave of 'big data', 'Data Science', and 'smart cities' changing the world, with the Harvard Business Review describing Data Science as the sexiest job of the 21st century. Transportation professionals and researchers need to be able to use data and databases in order to establish quantitative, empirical facts, and to validate and challenge their mathematical models, whose axioms have traditionally often been assumed rather than rigorously tested against data. This book takes a highly practical approach to learning about Data Science tools and their application to investigating transport issues. The focus is principally on practical, professional work with real data and tools, including business and ethical issues.

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