Overview
- Provides details about the fundamental tools and techniques used for data analysis
- Covers state-of-the-art techniques for data analytics, future research directions and guidance on data analytics
- Illustrates concepts with simple and intuitive examples, along with step-wise explanations
- Includes Python and R programming language tutorials for data science
- Useful advance undergraduate and postgraduate textbook for data science researchers
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Table of contents (8 chapters)
Keywords
About this book
- The first section is an introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics. Followed by discussion on wide range of applications of data science and widely used techniques in data science.
- The second section is devoted to the tools and techniques of data science. It consists of data pre-processing, feature selection, classification and clustering concepts as well as an introduction to text mining and opining mining.
- And finally, the third section of the bookfocuses on two programming languages commonly used for data science projects i.e. Python and R programming language.
Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. The book is suitable for both undergraduate and postgraduate students as well as those carrying out research in data science. It can be used as a textbook for undergraduate students in computer science, engineering and mathematics. It can also be accessible to undergraduate students from other areas with the adequate background. The more advanced chapters can be used by postgraduate researchers intending to gather a deeper theoretical understanding.
Authors and Affiliations
About the authors
Dr. Muhammad Summair Raza has been affiliated with the Virtual University of Pakistan for more than 8 years and has taught a number of subjects to graduate-level students. He has authored several articles in quality journals and is currently working in the field of data analysis, big data with a focus on rough sets.
Bibliographic Information
Book Title: Data Science Concepts and Techniques with Applications
Authors: Usman Qamar, Muhammad Summair Raza
DOI: https://doi.org/10.1007/978-981-15-6133-7
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
Softcover ISBN: 978-981-15-6135-1Published: 09 June 2021
eBook ISBN: 978-981-15-6133-7Published: 08 June 2020
Edition Number: 1
Number of Pages: XV, 196
Number of Illustrations: 65 b/w illustrations, 43 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Big Data/Analytics