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Applied Statistics with Python: Volume I: Introductory Statistics and Regression de Leon Kaganovskiy

Applied Statistics with Python: Volume I: Introductory Statistics and Regression

Autor Leon Kaganovskiy
en Limba Engleză Hardback – 2 mar 2025
Applied Statistics with Python, Volume I: Introductory Statistics and Regression concentrates on applied and computational aspects of statistics, focusing on conceptual understanding and Python-based calculations. Based on years of experience teaching introductory and intermediate Statistics courses at Touro University and Brooklyn College, this book compiles multiple aspects of applied statistics, teaching the reader useful skills in statistics and computational science with a focus on conceptual understanding. This book does not require previous experience with statistics and Python, explaining the basic concepts before developing them into more advanced methods from scratch. Applied Statistics with Python is intended for undergraduate students in business, economics, biology, social sciences, and natural science, while also being useful as a supplementary text for more advanced students.
Key Features:
  • Concentrates on more introductory topics such as descriptive statistics, probability, probability distributions, proportion and means hypothesis testing, as well as one-variable regression.
  • The book’s computational (Python) approach allows us to study Statistics much more effectively. It removes the tedium of hand/calculator computations and enables one to study more advanced topics.
  • Standardized sklearn Python package gives efficient access to machine learning topics.
  • Randomized homework as well as exams are provided in the author’s course shell on My Open Math web portal (free).
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Specificații

ISBN-13: 9781032751931
ISBN-10: 1032751932
Pagini: 320
Ilustrații: 340
Dimensiuni: 156 x 234 x 24 mm
Greutate: 0.62 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC

Public țintă

Postgraduate, Undergraduate Advanced, and Undergraduate Core

Cuprins

Preface  1. Introduction  2. Descriptive Data Analysis  3. Probability  4. Probability Distributions  5. Inferential Statistics and Tests for Proportions  6. Goodness of Fit and Contingency Tables  7. Inference for Means  8. Correlation and Regression

Notă biografică

Leon Kaganovskiy is an Associate Professor at the Mathematics Department of Touro College. He received a M.S. in Theoretical Physics from Kharkov State University, and M.S. and PhD in Applied Mathematics from the University of Michigan. His most recent interest is in a broad field of Applied Statistics, and he has developed new courses in Bio-Statistics with R, Statistics for Actuaries with R, and Business Analytics with R. He teaches Statistics research courses at the Graduate Program in Speech-Language Pathology at Touro College.

Recenzii

"In conclusion, Applied Statistics with Python: Volume I represents a timely and well-executed contribution to the modernization
of statistics education. Its computation-first approach, integration of Python throughout the narrative, and focus on interpretation and model-based reasoning provide students with a solid foundation in both statistical thinking and computational literacy. While the book is not intended as a comprehensive theoretical reference, it fills a crucial niche for applied programs seeking to introduce statistics in a practical, codeoriented context. By blending readable style, intuitive guidance, and contextualized examples, the text empowers students to engage confidently with data and prepares them for advanced study or professional work in data-driven fields."
- Maria Iannario in The American Statistician, March 2026
"Overall, the author has done an excellent job presenting foundational statistical concepts for students in an introductory college-level course. The consistent use of Python is a notable strength, and the intuitive, concept-driven approach makes the material accessible to students who are not mathematics or statistics majors but are comfortable with programming. [...] In summary, this is a strong textbook for an introductory statistics course, particularly for the right audience."
- Pradipta Sarkar in Technometrics, April 2026

Descriere

Applied Statistics with Python concentrates on applied and computational aspects of statistics, focussing on conceptual understanding and Python-based calculations. It compiles multiple aspects of applied statistics, teaching useful skills in statistics and computational science.