MARC details
| 000 -LEADER |
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| fixed length control field |
03102nam a22002657a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
NU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250108111907.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250108b ph ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781119811558 |
| Qualifying information |
(paperback) |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
NU FAIRVIEW |
| Modifying agency |
NU FAIRVIEW |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
QA 76.9 P54 2021 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Pierson, Lillian, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Data science for dummies / |
| Statement of responsibility, etc. |
Lillian Pierson. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
Third Edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Hoboken, NJ : |
| Name of publisher, distributor, etc. |
John Wiley & Sons, Inc., |
| Date of publication, distribution, etc. |
c2021. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
416 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
23 cm. |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
2,097.00 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introduction. -- Part 1 : Getting started with data science. -- Part 2 : Using data science to extract meaning from your data. -- Part 3 : Taking stock of your data science capabilities. -- Part 4 : Assessing your data science options. -- Part 5 : The part of tens. -- |
| Miscellaneous information |
Introduction. -- Part 1 : Getting started with data science. -- Chapter 1 : Wrapping your head around data science. -- Chapter 2 : Tapping into critical aspects of data engineering. -- Part 2 : Using data science to extract meaning from your data. -- Chapter 3 : Machine learning means... using a machine to learn from data. -- Chapter 4 : Math, probability, and statistical modeling. -- Chapter 5 : Grouping your way into accurate predictions. -- Chapter 6 : Coding up data insights and decision engines. -- Chapter 7 : Generating insights with software applications. -- Chapter 8 : Telling powerful stories with data. -- Part 3 : Taking stock of your data science capabilities. -- Chapter 9 : Developing your business acumen. -- Chapter 10 : Improving operations. -- Chapter 11 : Making marketing improvements Chapter 12 : Enabling improved decision-making Chapter 13 : Decreasing lending risk and fighting financial crimes. -- Chapter 14 : Monetizing data and data science expertise. -- Part 4 : Assessing your data science options. -- Chapter 15 : Gathering important information about your company. -- Chapter 16 : Narrowing in on the optimal data science use case. -- Chapter 17 : Planning for future data science project success. -- Chapter 18 : Blazing a path to data science career success. -- Part 5 : The part of tens. -- Chapter 19 : Ten phenomenal resources for open data. -- Chapter 20 : Ten free or low-cost data science tools and applications. -- Index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Data science is the alchemy that allows us to turn all the 1s and 0s floating around out there into knowledge. Data Science For Dummies will open your eyes to everything data can do (and a few things it can't). This is the easy introduction to everything from wrangling data to prediction models, and even sprucing up the results with visualizations. Why would you want to do all that? This book will set you straight on that point, too, with real-world applications and examples you can take to the bank (or wherever else the data insights tell you to go)"--Publisher marketing. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
INFORMATION SCIENCE. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
INFORMATION TECHNOLOGY. |
| Topical term or geographic name entry element |
MANAGEMENT. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
TECHNOLOGICAL INIVATIONS. |
| Topical term or geographic name entry element |
MANAGEMENT. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Books |
| Suppress in OPAC |
No |
