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Undergraduate Topics in Computer Science

Introduction to Data Science

A Python Approach to Concepts, Techniques and Applications

Authors: Igual, Laura, Seguí, Santi

  • Describes tools and techniques that demystify data science
  • Presents a focus on analytical techniques; the core toolbox for every data scientist
  • Includes numerous practical case studies using real-world data, supplying code examples and data at an associated website
  • Discusses Python extensions, techniques and modules to perform statistical analysis and machine learning, and important applications of data science
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eBook $39.99
price for USA (gross)
  • ISBN 978-3-319-50017-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.99
price for USA
  • ISBN 978-3-319-50016-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website.

About the authors

Dr. Laura Igual is an Associate Professor at the Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Spain. Dr. Santi Seguí is an Assistant Professor at the same institution.

The authors wish to mention that some chapters were co-written by Jordi Vitrià, Eloi Puertas, Petia Radeva, Oriol Pujol, Sergio Escalera, Francesc Dantí and Lluís Garrido.

Reviews

“The book ‘Introduction to Data Science’ is built as a starter presentation of concepts, techniques and approaches that constitute the initial contact with data science for scientists … . The style of the book recommends it to both undergraduates and postgraduates and the concluding remarks and references provide guidance for the next steps in the study of particular topics.” (Irina Ioana Mohorianu, zbMATH, Vol. 1365.62003, 2017)


Table of contents (11 chapters)

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-3-319-50017-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.99
price for USA
  • ISBN 978-3-319-50016-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Introduction to Data Science
Book Subtitle
A Python Approach to Concepts, Techniques and Applications
Authors
Series Title
Undergraduate Topics in Computer Science
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-50017-1
DOI
10.1007/978-3-319-50017-1
Softcover ISBN
978-3-319-50016-4
Series ISSN
1863-7310
Edition Number
1
Number of Pages
XIV, 218
Number of Illustrations and Tables
6 b/w illustrations, 67 illustrations in colour
Topics