Common Data Sense for Professionals : (Record no. 5939)
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000 -LEADER | |
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fixed length control field | 04460cam a2200553Ki 4500 |
001 - CONTROL NUMBER | |
control field | 9781003165279 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | FlBoTFG |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240213122832.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
fixed length control field | m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr cnu|||unuuu |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 211007s2021 xx fo 000 0 eng d |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | OCoLC-P |
Language of cataloging | eng |
Description conventions | rda |
-- | pn |
Transcribing agency | OCoLC-P |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781003165279 |
Qualifying information | (electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1003165273 |
Qualifying information | (electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781000514117 |
Qualifying information | (electronic bk. : EPUB) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1000514110 |
Qualifying information | (electronic bk. : EPUB) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9780367760502 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781000514100 |
Qualifying information | (electronic bk. : PDF) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1000514102 |
Qualifying information | (electronic bk. : PDF) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9780367760489 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)1273728005 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC-P)1273728005 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | T58.6 |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | BUS |
Subject category code subdivision | 043060 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | BUS |
Subject category code subdivision | 063000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | BUS |
Subject category code subdivision | 041000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | KJMV3 |
Source | bicssc |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 658.4038 |
Edition number | 23 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Jugulum, Rajesh. |
245 10 - TITLE STATEMENT | |
Title | Common Data Sense for Professionals : |
Remainder of title | A Process-Oriented Approach for Data-Science Projects. |
250 ## - EDITION STATEMENT | |
Edition statement | First edition. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | [Place of publication not identified] : |
Name of producer, publisher, distributor, manufacturer | Productivity Press, |
Date of production, publication, distribution, manufacture, or copyright notice | 2021. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource (xviii, 100 pages). |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | c |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | cr |
Source | rdacarrier |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Foreword Preface AcknowledgementsOverviewChapter 1: The Meeting of Manju and JimChapter 2: Understanding the ProblemChapter 3: Analyzing the Problem and Collecting DataChapter 4: Creating and Analyzing ModelsChapter 5: Project StructureChapter 6: Data Science Stories and Case Example AnalysisChapter 7: Concept ReviewChapter 8: Manju and Jim's Concluding MeetingReferences |
520 ## - SUMMARY, ETC. | |
Summary, etc. | Data is an intrinsic part of our daily lives. Everything we do is a data point. Many of these data points are recorded with the intent to help us lead more efficient lives. We have apps that track our workouts, sleep, food intake, and personal finance. We use the data to make changes to our lives based on goals we have set for ourselves. Businesses use vast collections to determine strategy and marketing. Data scientists take data, analyze it and create models to help solve problems. You may have heard of companies having data management teams, or Chief Information Officers (CIO) or Chief Analytics Officers (CAO), etc. These are all people that work with data, but their function is more related to vetting data and preparing it for use by data scientists. The jump from personal data usage for self-betterment to mass data analysis for business process improvement often feels bigger to us than it is. In turn, we often think big data analysis requires tools held only by advanced degree holders. Though an advanced degrees are certainly valuable, this book illustrates how it is not a requirement to adequately run a data science project. Because we are all already data users, with some simple strategies and exposure to basic statistical analysis software programs, anyone who has the proper tools and determination can solve data science problems. The process presented in this book will help empower individuals to work on and solve data- related challenges. The goal for this book is to provide a step-by-step guide to the data science process so that you can feel confident in leading your own data science project. To aid with clarity and understanding, the author presents a fictional restaurant chain to use as a case study -- it illustrates how the various topics discussed can be applied. Essentially, this book helps traditional business people to solve data related problems on their own without any hesitation or fear. The powerful methods are presented in the form of conversations, examples, and case studies. The conversational style is engaging and provides clarity. |
588 ## - SOURCE OF DESCRIPTION NOTE | |
Source of description note | OCLC-licensed vendor bibliographic record. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Business |
General subdivision | Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Decision making |
General subdivision | Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Big data. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Business intelligence. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | BUSINESS & ECONOMICS / Marketing / Research |
Source of heading or term | bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | BUSINESS & ECONOMICS / Strategic Planning |
Source of heading or term | bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | BUSINESS & ECONOMICS / Management |
Source of heading or term | bisacsh |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Materials specified | Taylor & Francis |
Uniform Resource Identifier | <a href="https://www.taylorfrancis.com/books/9781003165279">https://www.taylorfrancis.com/books/9781003165279</a> |
856 42 - ELECTRONIC LOCATION AND ACCESS | |
Materials specified | OCLC metadata license agreement |
Uniform Resource Identifier | <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a> |
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