| 000 -LEADER |
|---|
| fixed length control field |
03611nam a22003857a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20260630141226.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
260630s20252026-uka|||er|||| 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781836831440 [hardbound] |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
University of Cebu-Banilad |
| Transcribing agency |
University of Cebu-Banilad |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Rivers, Julian, |
| Relator term |
author. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Statistics for data science / |
| Statement of responsibility, etc |
by Julian Rivers. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
United Kingdom : |
| Name of publisher, distributor, etc |
Vintage Press Ltd., |
| Date of publication, distribution, etc |
c2025. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
v, 264 pages : |
| Other physical details |
color illustrations ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type |
volume |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Contents: 1. Introduction to statistics and data science -- 2. Descriptive statistics -- 3. Probability concepts -- 4. Sampling and sampling distributions -- 5. Estimation and confidence intervals -- 6. Hypothesis testing -- 7. Analysis of variance (ANOVA) -- 8. Statistical inference in data science -- 9. Multivariate statistics -- 10. Time series analysis. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"In recent years, data has emerged as one of the most valuable resources in the world, transforming industries, research fields, and the ways in which decisions are made. Data science has risen to the forefront of this transformation, combining statistical analysis, machine learning, and domain expertise to extract insights and drive innovation. In this book, Statistics for Data Science, the aim is to bridge the essential knowledge of statistics with the practical applications necessary for today's data-driven world.<br/>Statistics is the foundation upon which data science is built, offering tools to explore, analyze, and interpret data in ways that support accurate, meaningful, and actionable conclusions. The objective of this book is to introduce readers to fundamental statistical concepts, methodologies, and techniques, with a focus on their applications in data science. Topics include descriptive statistics, inferential statistics, probability, regression analysis, hypothesis testing, and more advanced areas such as time series analysis, multivariate statistics, and statistical quality control.<br/>Written with data science practitioners, students, and professionals in mind, this book combines theory with practical examples and exercises to reinforce understanding and encourage hands-on learning. Each chapter not only provides theoretical knowledge but also includes applied scenarios, demonstrating how statistical methods are used in real-world data science problems.<br/>Whether you are just beginning your journey in data science or seeking to deepen your statistical knowledge, this book is designed to be both a foundational guide and a practical resource. I hope that 'Statistics for Data Science serves as a valuable tool, inspiring readers to harness the power of statistics to make better, more informed decisions. Thank you for embarking on this journey, and I look forward to exploring the world of statistics with you." —Preface |
| 521 ## - TARGET AUDIENCE NOTE |
|---|
| Target audience note |
Adult |
| 541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Source of acquisition |
Purchased |
| Deans/Chairperson |
Ortega, Eric |
| Department |
College of Computer Studies |
| Subject Category |
Computer Science |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
Text in English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Mathematical statistics. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data science. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Big data. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
Information visualization. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Electronic data processing. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Mathematical statistics |
| General subdivision |
Data processing. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Mathematical statistics |
| Form subdivision |
Textbooks. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Type of record |
Book |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
|---|
| Encoded by |
Janna [new] |
| Date encoded |
06/30/2026 |
