Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

by Laura Igual, Santi Seguï, Jordi Vitriï, Eloi Puertas, Petia Radeva

Overview

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.

Product Details

ISBN-13:	9783319500164
Publisher:	Springer International Publishing
Publication date:	03/04/2017
Series:	Undergraduate Topics in Computer Science
Edition description:	1st ed. 2017
Pages:	218
Product dimensions:	6.10(w) x 9.25(h) x (d)

About the Author

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.

Table of Contents

Introduction to Data Science
Jordi Vitrià

Toolboxes for Data Scientists
Eloi Puertas and Francesc Dantí

Descriptive statistics
Petia Radeva and Laura Igual

Statistical Inference
Jordi Vitrià and Sergio Escalera

Supervised Learning
Oriol Pujol and Petia Radeva

Regression Analysis
Laura Igual and Jordi Vitrià

Unsupervised Learning
Petia Radeva and Oriol Pujol

Network Analysis
Laura Igual and Santi Seguí

Recommender Systems
Santi Seguí and Eloi Puertas

Statistical Natural Language Processing for Sentiment Analysis
Sergio Escalera and Santi Seguí

Parallel Computing
Francesc Dantí and Lluís Garrido

Editorial Reviews

This book contains a broad range of timely topics and presents interesting examples on real-life data using Python. … the book is a good addition to references on Python and data science. Students as well as practicing data scientists and engineers will benefit from the many techniques and use cases presented in the book.” (Computing Reviews, December, 2017)

“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)

From the Publisher