Introduction To Data Science : Data Analysis And Prediction Algorithms With R: 1st Edition

Description

Buy Introduction To Data Science : Data Analysis And Prediction Algorithms With R: 1st Edition Old Book, Authored by rafael a. irizarry in paperback binding from Used Book Store.

Master the fundamentals of data science with this comprehensive introduction. This book equips you with the concepts and skills needed to tackle real-world data analysis challenges, covering probability, statistical inference, linear regression, and machine learning. Develop practical abilities in R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git, and reproducible document preparation. Designed as a textbook for a first course in data science, this guide requires no prior R experience, though some programming familiarity can be beneficial. The book is structured into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools, with each part containing chapters suitable for individual lectures. Engage with motivating case studies that realistically simulate a data scientist’s workflow. The author poses specific questions and demonstrates how to answer them through data analysis, allowing concepts to be learned organically. Case studies explore topics such as US murder rates, student heights, global health and economic trends, vaccine impacts, the financial crisis, election forecasting, team building, image processing, and movie recommendation systems. While statistical concepts are introduced to address case study questions, a complementary probability and statistics textbook is highly recommended for a deeper understanding. By engaging with the chapters and completing the exercises, you will build a strong foundation for mastering advanced data science concepts and skills.

About the Author

Rafael A. Irizarry is professor of data sciences at the Dana-Farber Cancer Institute, professor of biostatistics at Harvard, and a fellow of the American Statistical Association. Dr. Irizarry is an applied statistician and during the last 20 years has worked in diverse areas, including genomics, sound engineering, and public health. He disseminates solutions to data analysis challenges as open source software, tools that are widely downloaded and used. Prof. Irizarry has also developed and taught several data science courses at Harvard as well as popular online courses.

9781032286600 ISBN
Computer Science
Computing, Internet & Digital Media