Data science concepts and techniques with applications / Usman Qamar, Muhammad Summair Raza.
Qamar, Usman.; Raza, Muhammad Summair.
2020
QA76.9.Q36
Available Online

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Title Data science concepts and techniques with applications / Usman Qamar, Muhammad Summair Raza.
Author Qamar, Usman.
ISBN 9789811561337 (electronic book)
9811561338 (electronic book)
9789811561320
981156132X
DOI https://doi.org/10.1007/978-981-15-6
Publication Details Singapore : Springer, 2020.
Language English
Description 1 online resource (207 pages)
Item Number 10.1007/978-981-15-6
Call Number QA76.9.Q36
Dewey Decimal Classification 001.4/2
Summary This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections: 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 book focuses 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.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Raza, Muhammad Summair.
Available in Other Form Data Science Concepts and Techniques with Applications
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Introduction
Applications of Data Science
Widely used techniques in Data Science Applications
Data Pre-processing
Classification, Basic Concepts
Clustering
Text Mining
Data Science Programming Language.

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