Fundamentals of Data Science

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.

List 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.

About the author

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

Summary

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.

Product details

• Authors: Manisha S. Bhende, Anuradha D. Thakare, Sanjeev J. Wagh, Sanjeev J. (Department of Information Techno Wagh
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 27.09.2021
• EAN: 9781138336186
• ISBN: 978-1-138-33618-6
• No. of pages: 282
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Business > Miscellaneous; BUSINESS & ECONOMICS / Statistics, COMPUTERS / Programming / Games, computer science, Data analysis: general, Data science and analysis: general, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Database Administration & Management