Applied statistics with python: volume I: (Record no. 10511)

MARC details
000 -LEADER
fixed length control field 02552nam a22002057a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251016172507.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251016b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032752631
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.50285
Item number KAG
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kaganovskiy, Leon
245 ## - TITLE STATEMENT
Title Applied statistics with python: volume I:
Remainder of title introductory statistics and regression
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Boca Raton
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 2025
300 ## - PHYSICAL DESCRIPTION
Extent x, 309 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 89.99
500 ## - GENERAL NOTE
General note Table of contents:<br/>Preface<br/><br/>1. Introduction<br/><br/>2. Descriptive Data Analysis<br/><br/>3. Probability<br/><br/>4. Probability Distributions<br/><br/>5. Inferential Statistics and Tests for Proportions<br/><br/>6. Goodness of Fit and Contingency Tables<br/><br/>7. Inference for Means<br/><br/>8. Correlation and Regression<br/><br/>[https://www.routledge.com/Applied-Statistics-with-Python-Volume-I-Introductory-Statistics-and-Regression/Kaganovskiy/p/book/9781032751931]
520 ## - SUMMARY, ETC.
Summary, etc. 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.<br/><br/>Key Features:<br/><br/>Concentrates on more introductory topics such as descriptive statistics, probability, probability distributions, proportion and means hypothesis testing, as well as one-variable regression<br/>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<br/>Standardized sklearn Python package gives efficient access to machine learning topics<br/><br/>(https://www.routledge.com/Applied-Statistics-with-Python-Volume-I-Introductory-Statistics-and-Regression/Kaganovskiy/p/book/9781032751931)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics--Probability
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics--Python
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
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    Dewey Decimal Classification     Operations Management & Quantitative Techniques 350/25-26 26-09-2025 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 10/07/2025 T V Enterprises 7013.95 Vol. I   519.50285 KAG 009102 10/07/2025 1 10790.70 10/07/2025 Book

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