Mastering Data Science with R and SAS

The second edition of Mastering Data Science with R and SAS: From Foundations to Advanced Statistical Modeling offers an expanded and updated roadmap for mastering modern data analysis using R and SAS. Building on the solid foundation of the first edition, this version dives deeper into advanced statistical modeling techniques, including multivariate regression, generalized linear models (GLMs), longitudinal data analysis, principal component analysis (PCA), and factor analysis.Enhanced chapters on R provide improved guidance on the RStudio environment, programming workflows, debugging, and troubleshooting, enabling readers to write more efficient and reliable code. The coverage of SAS software has been significantly broadened to include advanced data manipulation, statistical inference, error handling, and practical lab exercises designed to develop real-world problem-solving skills.Rich with practical examples, hands-on exercises, and comprehensive explanations, this edition is designed to meet the evolving needs of students, researchers, and data professionals. Whether you are new to data science or looking to deepen your expertise, this book equips you with the essential tools.

Autorentext

Kindu Kebede Gebre is an Assistant Professor of Bio-Statistics at Haramaya University. He is the author of Mastering Data Science with R and SAS: From Foundations to Advanced Statistical Modeling (Second Edition), a comprehensive guide designed to equip learners with both foundational concepts and practical skills in modern statistical modeling.