Data Science (Chapman & – Paperback, by Timbers Tiffany; Campbell – Very Good
Data Science (Chapman & Hall/CRC Data Science Series).
An Introduction to Data Science by Saltz & Stanton Paperback SAGE Data Science
The product is a paperback textbook titled “An Introduction to Data Science” by authors Jeffrey M. Stanton and Jeffrey S. Saltz. Published by SAGE Publications, the book covers the subject area of Computers and Data Science in English language. It provides essential information for beginners interested in learning the fundamentals of data science. With a focus on the practical applications of data science, this textbook serves as a valuable resource for individuals looking to deepen their understanding of this rapidly growing field.
Confident Data Science: Discover the essential skills of data science – PB
“Confident Data Science: Discover the Essential Skills of Data Science” by Adam Ross Nelson is a comprehensive textbook aimed at adult education and further education levels. Published by Kogan Page, The Limited in 2023, this trade paperback book covers essential skills in data science, focusing on the intersection of computers and mathematics. With a beginner level approach, this book is designed to help readers confidently navigate the world of data processing and analysis. Written in English and originating from the United Kingdom, this textbook is a valuable resource for those looking to enhance their data science skills. FREE SHIPPING
Data Science in Context: Foundations, Challenges, Opportunities
You are purchasing a Very Good copy of ‘Data Science in Context: Foundations, Challenges, Opportunities’. Condition Notes: This book is in Very Good condition. The cover and pages have minor shelf wear.
Data Science from Scratch: First Principles – Paperback, by Grus Joel – Good
The product is a trade paperback book titled “Data Science from Scratch: First Principles with Python” by Joel Grus. Published by O’Reilly Media in 2015, the book is aimed at scholarly and professional audiences interested in data science. It covers various topics such as linear algebra, statistics, probability, data modeling, data processing, and machine learning techniques. With a focus on Python programming, the book provides a practical and hands-on approach to understanding the fundamental concepts and tools used in data science. It is illustrated and contains 330 pages, making it a comprehensive resource for those looking to dive into the field of data science.