Fundamentals of Data Science

Author:   Sanjeev J. Wagh (Department of Information Technology, Government College of Engineering, Karad, India) ,  Manisha S. Bhende (SP Pune Univ.) ,  Anuradha D. Thakare (PC College of Eng., Pune, India)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032079868


Pages:   282
Publication Date:   12 March 2025
Format:   Paperback
Availability:   In Print   Availability explained
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Fundamentals of Data Science


Overview

Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes Readers will learn the steps necessary to create the application with SQl, NoSQL, Python, R, Matlab, Octave and Tablue. This book provides a stepwise approach to building solutions to data science applications right from understanding the fundamentals, performing data analytics to writing source code. All the concepts are discussed in simple English to help the community to become Data Scientist without much pre-requisite knowledge. Features : Simple strategies for developing statistical models that analyze data and detect patterns, trends, and relationships in data sets. Complete roadmap to Data Science approach with dedicatedsections which includes Fundamentals, Methodology and Tools. Focussed approach for learning and practice various Data Science Toolswith Sample code and examples for practice. Information is presented in an accessible way for students, researchers and academicians and professionals.

Full Product Details

Author:   Sanjeev J. Wagh (Department of Information Technology, Government College of Engineering, Karad, India) ,  Manisha S. Bhende (SP Pune Univ.) ,  Anuradha D. Thakare (PC College of Eng., Pune, India)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.460kg
ISBN:  

9781032079868


ISBN 10:   103207986
Pages:   282
Publication Date:   12 March 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Part-I Data Science Introduction. Chapter 1: Importance of Data Science. Chapter 2: Statistics and Probability. Chapter 3: Databases for Data Science. Part II Data Modelling and Analytics. Chapter 4: Data Science Methodology. Chapter 5: Data Science Methods and Machine learning. Chapter 6: Data Analytics and Text Mining. Part III: Platforms for Data Science. Chapter 7: Data Science Tool: Python. Chapter 8: Data Science Tool: R. Chapter 9: Data Science Tool: MATLAB. Chapter 10 : GNU Octave as a Data Science Tool. Chapter 11: Data Visualization using Tableau. Index.

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Author Information

Sanjeev J. Wagh, Manisha S. Bhende, Anuradha D. Thakare

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