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    <subfield code="a">Pierson, Lillian.</subfield>
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    <subfield code="a">Data science for dummies</subfield>
    <subfield code="h">[BOOK] /</subfield>
    <subfield code="c">by Lillian Pierson.</subfield>
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    <subfield code="a">3rd edition.</subfield>
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    <subfield code="a">Hoboken, NJ : </subfield>
    <subfield code="b">John Wiley &amp; Sons Inc, </subfield>
    <subfield code="c">2021.</subfield>
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    <subfield code="a">xii, 416 pages :</subfield>
    <subfield code="b">illustrations ;</subfield>
    <subfield code="c">24 cm.</subfield>
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    <subfield code="a">--For dummies</subfield>
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    <subfield code="a">Includes index.</subfield>
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    <subfield code="a">"Deploy math and stats to improve decision-making -- Supercharge your business growth with data science wins -- Monetize your data resources and data science skills" --cover.</subfield>
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    <subfield code="a">Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book.</subfield>
    <subfield code="c">Provided by publisher.</subfield>
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    <subfield code="d">20211028.</subfield>
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    <subfield code="a">Information retrieval.</subfield>
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    <subfield code="a">Data mining.</subfield>
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    <subfield code="a">Information technology.</subfield>
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    <subfield code="a">Databases.</subfield>
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    <subfield code="a">Business</subfield>
    <subfield code="x">Data processing.</subfield>
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    <subfield code="a">--For dummies.</subfield>
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