Fundamentals of Data Science

Fundamentals of Data Science is a comprehensive guide for students,academicians,and practitioners covering the foundational groundwork,concepts,techniques,and tools required to understand Data Science. It offers a stepwise approach to building solutions to data science applications,with a focus on statistical models,methodology,and tools. The book is written in simple English and provides sample code and examples for practice.

Format: Hardback
Length: 282 pages
Publication date: 23 September 2021
Publisher: Taylor & Francis Ltd

The Fundamentals of Data Science is a comprehensive guide designed for students, academics, and practitioners seeking to delve into the world of data science. It provides a thorough walkthrough, starting from the foundational groundwork required to understanding all the concepts, techniques, and tools essential for this field.

Data science is a multidisciplinary domain that encompasses a wide range of non-traditional techniques and technologies for collecting, aggregating, processing, and gaining insights from massive datasets. This book offers a comprehensive guide to these processes, methodologies, and various steps, including data acquisition, pre-processing, mining, prediction, and visualization tools. By employing various scientific methods, algorithms, and processes, readers will learn how to extract valuable insights from vast amounts of data.

The book adopts a stepwise approach to building solutions to data science applications. It begins by introducing the fundamentals of data science, covering topics such as statistics, probability, and machine learning. Readers then progress to performing data analytics, using tools like SQL, NoSQL, Python, R, Matlab, Octave, and Tableau to analyze and manipulate data. The book emphasizes the importance of writing source code, enabling readers to develop their own data science applications.

To facilitate learning, the book is written in simple English, making it accessible to a wide range of readers, including students, researchers, academicians, and professionals. It includes numerous examples, code snippets, and exercises to help readers apply the concepts learned in real-world scenarios.

The Fundamentals of Data Science also offers a comprehensive roadmap to data science, with dedicated sections covering fundamentals, methodology, and tools. It provides a clear understanding of the different approaches and techniques used in data science, enabling readers to choose the most suitable tools for their specific needs.

In conclusion, The Fundamentals of Data Science is an essential resource for anyone interested in pursuing a career in data science or expanding their knowledge in this field. It offers a comprehensive and practical guide to data science, covering all the essential concepts, techniques, and tools required for success. With its stepwise approach, accessible language, and extensive examples, this book is an invaluable tool for anyone looking to advance their data science skills.

Weight: 540g
Dimension: 234 x 156 (mm)
ISBN-13: 9781138336186