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019 ▼a 1103981944
020 ▼a 9781838985509 ▼q electronic book
020 ▼a 1838985506 ▼q electronic book
035 ▼a 2153727 ▼b (N$T)
035 ▼a (OCoLC)1104081358 ▼z (OCoLC)1103981944
037 ▼a 408BAF51-6D52-494F-92C4-7F0F290AED4C ▼b OverDrive, Inc. ▼n http://www.overdrive.com
040 ▼a EBLCP ▼b eng ▼e rda ▼e pn ▼c EBLCP ▼d TEFOD ▼d OCLCF ▼d OCLCQ ▼d YDX ▼d UKAHL ▼d OCLCQ ▼d N$T ▼d OCLCQ ▼d YDXIT ▼d 248032
049 ▼a MAIN
050 4 ▼a QA76.9.D32 ▼b P74 2019
08204 ▼a 005.74 ▼2 23
1001 ▼a Prevos, Peter, ▼e author.
24510 ▼a Principles of strategic data science : ▼b creating value from data, big and small / ▼c Peter Prevos.
260 ▼a Birmingham, UK : ▼b Packt Publishing Ltd., ▼c 2019.
300 ▼a 1 online resource (vi, 85 pages)
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
5058 ▼a Cover; FM; Table of Contents; Preface; Chapter 1: What is Data Science?; Introduction; Data-Driven Organization; The Data Revolution; The Elements of Data Science; Domain Knowledge; Mathematical Knowledge; Computer Science; The Unicorn Data Scientist?; The Purpose of Data Science; Chapter 2: Good Data Science; Introduction; A Data Science Trivium; Useful Data Science; Reality; Data; Information; Knowledge; The Feedback Loop; Sound Data Science; Validity; Reliability; Reproducibility; Governance; Aesthetic Data Science; Visualization; Reports; Best-Practice Data Science
5058 ▼a Chapter 3: Strategic Data ScienceIntroduction; The Data Science Continuum; Collecting Data; Descriptive Statistics; Business Reporting; Diagnostics; Qualitative Data Science; Predicting the Future; Traditional Predictive Methods; Machine Learning; Prescribing Action; Toward a Data-Driven Organization; Chapter 4: The Data-Driven Organization; Introduction; People; The Data Science Team; Data Science Consumers; Data Science Culture; Systems; Process; Define; Prepare; Understand; Communicate; The Limitations of Data Science; The Limits of Computation; Ethical Data Science; Chapter 5: References; Index.
520 ▼a Principles of Strategic Data Science describes a framework that creates value from data to help organizations meet their objectives. With this book, you'll bridge the gap between mathematics and computer science and also gain insight into the workings of the entire data science pipeline.
588 ▼a Description based on online resource; title from digital title page (viewed on August 25, 2020).
590 ▼a Master record variable field(s) change: 050
650 0 ▼a Databases.
650 0 ▼a Data mining.
650 0 ▼a Big data.
650 0 ▼a Electronic data processing.
650 7 ▼a Big data. ▼2 fast ▼0 (OCoLC)fst01892965
650 7 ▼a Data mining. ▼2 fast ▼0 (OCoLC)fst00887946
650 7 ▼a Databases. ▼2 fast ▼0 (OCoLC)fst00888065
650 7 ▼a Electronic data processing. ▼2 fast ▼0 (OCoLC)fst00906956
655 4 ▼a Electronic books.
77608 ▼i Print version: ▼a Prevos, Peter. ▼t Principles of Strategic Data Science : Creating Value from Data, Big and Small. ▼d Birmingham : Packt Publishing, Limited, 짤2019 ▼z 9781838985295
85640 ▼3 EBSCOhost ▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2153727
938 ▼a Askews and Holts Library Services ▼b ASKH ▼n AH36368528
938 ▼a ProQuest Ebook Central ▼b EBLB ▼n EBL5784241
938 ▼a EBSCOhost ▼b EBSC ▼n 2153727
938 ▼a YBP Library Services ▼b YANK ▼n 300576903
990 ▼a 관리자
994 ▼a 92 ▼b N$T