Data Science for Business: What You Need to Know about Data Mining and Data-Anal

“Data Science for Business: What You Need to Know about Data Mining and Data Analytics” is a must-read resource published by O’Reilly Media in September 2013. Written by Foster Provost & Tom Fawcett, this 413-page book covers the subject of data science in an easy-to-understand language. The book is packed with valuable insights and practical tips for business professionals looking to leverage data mining and data analytics to drive better decision-making. With a compact size of 7 x 0.9 x 9.19 inches and weighing only 1.5 pounds, this book is a convenient and informative read for anyone seeking to enhance their understanding of data science for business.

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverseâ??. Even if you have no programming experience, this updated edition will have you doing data science quickly.

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverseâ??. Even if you have no programming experience, this updated edition will have you doing data science quickly.

Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,

“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” by Martin Kleppmann is a comprehensive textbook published by O’Reilly Media in 2017. Focusing on the subject area of computers, this book explores data modeling and design, as well as desktop applications and databases. With 614 pages, it offers valuable insights and practical guidance for designing data-intensive applications that are both reliable and scalable. Written in English and available in trade paperback format, this book is a valuable resource for students and professionals in the field of computer science.