Springer, 2020. — 207 p. — ISBN: 981156132X.
-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
Applications of Data Science
Widely Used Techniques in Data Science Applications
Data Preprocessing
Classification