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Statistical Practice for Data Science: With Hands-On Illustrations Using R - Tapa blanda

Ravishanker, Nalini; Gopalakrishnan, Asha; Bar, Haim

 
9780367698744: Statistical Practice for Data Science: With Hands-On Illustrations Using R
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ISBN 10: 0367698749 ISBN 13: 9780367698744
Editorial: Chapman and Hall/CRC, 2026

Sinopsis

Statistical Practice for Data Science: with Hands-on Illustrations using R is a comprehensive guide designed to equip students from diverse fields―engineering, science, and the biological, physical, and social sciences―with the statistical tools and techniques essential for data science. This book bridges the gap between theoretical concepts and practical applications, offering a clear and accessible introduction to statistics with minimal mathematical prerequisites. With a focus on real-world datasets and hands-on implementation using R, it empowers students to analyze, interpret, and communicate data effectively.

The book begins with foundational concepts in probability and statistics, ensuring that students with only college-level algebra can grasp the material. It progresses through key topics such as data visualization, hypothesis testing, regression modeling, and modern machine learning methods like random forests and gradient boosting. Each chapter is enriched with practical examples and coding exercises in R, making it an invaluable resource for students embarking on a data science program.

Designed as a one-semester course, the book provides flexibility for instructors to tailor the content to their curriculum. Whether exploring generalized linear models, mixed-effects models, or dependent data analysis, students will gain a deep understanding of statistical methods and their applications across various domains. By the end of the book, readers will be equipped to make informed decisions, quantify uncertainty, and communicate their findings effectively.

This book is not just a learning tool―it’s a practical companion for aspiring data scientists seeking to master statistical practice and R programming.

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Acerca del autor

Nalini Ravishanker is Professor in the Department of Statistics at the University of Connecticut (UConn), Storrs. She has a PhD in Statistics and Operations Research from the Stern School of Business, New York University, and a B.Sc. in Statistics from Presidency College, Madras, India. Her primary area of research is time series analysis with applications in several domains.

G. Asha is Senior Professor in the Department of Statistics at Cochin University of Science and Technology, Cochin, Kerala, India. She has a MPhil in Statistics from University of Kerala and Ph D in Statistics from Cochin University of Science and Technology, Cochin. Her primary area of research is life time data analysis.

Haim Bar Professor in the Department of Statistics at the University of Connecticut (UConn), Storrs. He has a PhD in Statistics from Cornell University, MSc in Computer Science from Yale University, and BSc in Mathematics from the Hebrew University. His areas of interest include high-dimensional models, and applications in genomics.

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Editorial
Chapman and Hall/CRC
Año de publicación
2026
Idioma
Inglés
ISBN 10 
0367698749
ISBN 13 
9780367698744
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
274
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania

Otras ediciones populares con el mismo título

9780367684846: Statistical Practice for Data Science: With Hands-On Illustrations Using R

Edición Destacada

ISBN 10:  0367684845 ISBN 13:  9780367684846
Editorial: Chapman and Hall/CRC, 2026
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