Foundations of programming, statistics & machine learning for business analytics / (Record no. 44184)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03814cam a2200493 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | CUTN |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250416104026.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220926s2023 caua 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1529620910 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781529620917 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1529620902 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781529620900 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9781529621570 |
| 041 ## - LANGUAGE CODE | |
| Language | English |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | lccopycat |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 658.472 |
| Edition number | 23 |
| Item number | GOP |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Gopal, Ram, |
| 245 10 - TITLE STATEMENT | |
| Title | Foundations of programming, statistics & machine learning for business analytics / |
| Statement of responsibility, etc | Ram Gopal, Dan Philps, Tillman Weyde. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | SAGE Publications Ltd, |
| Date of publication, distribution, etc | 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiv, 492 pages : |
| Other physical details | illustrations (chiefly color) ; |
| Dimensions | 25 cm |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Title | Chapter 1: Introduction To Programming And Statistics Chapter 2: Summarizing And Visualizing Data Chapter 3: Summarizing And Visualizing Data Chapter 4: Programming Fundamentals Chapter 5: Programming Fundamentals Chapter 6: Distributions Chapter 7: Statistical Testing – Concepts and Strategy Chapter 8: Statistical Testing – Concepts and Strategy Chapter 9: Nonparametric Tests Chapter 10: Reality Check Chapter 11: Fundamentals of Estimation Chapter 12: Linear Models Chapter 13: General Linear Models Chapter 14: Regression Diagnostics And Structure Chapter 15: Timeseries And Forecasting Chapter 16: Introduction To Machine Learning Chapter 17: Model Selection And Cross Validation Chapter 18: Regression Models In Machine Learning Chapter 19: Classification Models And Evaluation Chapter 20: Automated Machine Learning |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Business Analysts and Data Scientists are in huge demand, as global companies seek to digitally transform themselves and leverage their data resources to realize competitive advantage.<br/><br/>This book covers all the fundamentals, from statistics to programming to business applications, to equip you with the solid foundational knowledge needed to progress in business analytics. <br/><br/>Assuming no prior knowledge of programming or statistics, this book takes a simple step-by-step approach which makes potentially intimidating topics easy to understand, by keeping Maths to a minimum and including examples of business analytics in practice.<br/><br/>Key features:<br/><br/>· Introduces programming fundamentals using R and Python<br/><br/>· Covers data structures, data management and manipulation and data visualization<br/><br/>· Includes interactive coding notebooks so that you can build up your programming skills progressively<br/><br/>Suitable as an essential text for undergraduate and postgraduate students studying Business Analytics or as pre-reading for students studying Data Science.<br/><br/>Ram Gopal is Pro-Dean and Professor of Information Systems at the University of Warwick.<br/><br/>Daniel Philps is an Artificial Intelligence Researcher and Head of Rothko Investment Strategies.<br/><br/>Tillman Weyde is Senior Lecturer at City, University of London.<br/><br/><br/> |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Business intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Business |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Management |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Business intelligence. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer programming. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Management |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Philps, Dan, |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Weyde, Tillman, |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | General Books |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Relator term | author. |
| 246 3# - VARYING FORM OF TITLE | |
| Title proper/short title | Foundations of programming, statistics and machine learning for business analytics |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| General subdivision | Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| General subdivision | Statistical methods. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Source of heading or term | fast |
| 9 (RLIN) | 4 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Source of heading or term | fast |
| 9 (RLIN) | 4 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| General subdivision | Statistical methods. |
| Source of heading or term | fast |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Relator term | author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Relator term | author. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | ebook version : |
| International Standard Book Number | 9781529621570 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 7 |
| b | cbc |
| c | copycat |
| d | 2 |
| e | ncip |
| f | 20 |
| g | y-gencatlg |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Location | Shelving location | Date of Cataloging | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Non-fiction | CUTN Central Library | CUTN Central Library | Medicine, Technology & Management | 16/04/2025 | 658.472 GOP | 51989 | 16/04/2025 | 16/04/2025 | General Books |