Data Science Concepts and Techniques with Applications

This textbook covers both fundamental and advanced topics related to data science, including data analytics, data mining, machine learning, and Python and R programming. It is suitable for advanced undergraduate and graduate students and industrial practitioners, with a comprehensive presentation of important topics and application examples.

Format: Paperback / softback
Length: 474 pages
Publication date: 04 April 2023
Publisher: Springer International Publishing AG

This comprehensive textbook delves into both fundamental and advanced topics related to data science, serving as a valuable resource for students, researchers, and professionals alike. Data science, as a broad field, encompasses a wide range of disciplines, including data analytics, data mining, machine learning, and more.

The book is structured into three parts:

Part 1: Introduction to Data Science
Chapter 1: An Overview of Data Science
Chapter 2: Types of Data and Their Uses
Chapter 3: Importance and Challenges of Data Analytics

Part 2: Techniques and Tools in Data Science
Chapter 4: Data Pre-processing
Chapter 5: Classification and Clustering
Chapter 6: Text Mining
Chapter 7: Deep Learning
Chapter 8: Frequent Pattern Mining
Chapter 9: Regression Analysis

Part 3: Python and R for Data Science
Chapter 10: Introduction to Python
Chapter 11: Introduction to R
Chapter 12: Practical Data Science with WEKA

An Appendix: Basic Mathematical Concepts in Data Science

This textbook is designed to cater to advanced undergraduate and graduate students as well as industrial practitioners engaged in research in data science. It offers a comprehensive presentation of important topics, accompanied by numerous application examples and a comprehensive list of further readings that guide readers to explore more in-depth research results or relevant publications.

By covering a wide range of topics and providing practical insights, this textbook equips readers with the skills and knowledge necessary to excel in the field of data science. Whether you are a beginner seeking to gain a foundational understanding or an experienced professional looking to advance your expertise, this book is an invaluable resource for your data science journey.

Weight: 759g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031174414
Edition number: 2nd ed. 2023