Data science

by Pierson, Lillian

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Title Statements

Full title :Data science / by Lillian Pierson.

Summary

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.Not sure what data science is yet? Don't worry! 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.

Edition Statements

Publication Date:©2021
Edition:3rd edition

Publication Statements

Publisher(s):John Wiley & Sons, Inc
Place of Publication:Hoboken, NJ
Language:eng
Publication Date:©2021

Notes

Includes index.

"Learning made easy" -- Cover.

"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.

The Physical Object

Description:xii, 416 pages : : illustrations, charts ; : 24 cm

Edition Identifiers

ISBN:9781119811558, 1119811554
oclc:on1268136028
LC Classification:T58.5
Dewey Decimal:006.312

Introduction -- Getting started with Data Science. Wrapping your head around data science ; Tapping into critical aspects of data engineering -- Using data science to extract meaning from your data. Machine learning means... using a machine to learn from data ; Math, probability, and statistical modeling ; Grouping your way into accurate predictions ; Coding up data insights and decision engines ; Generating insights with software applications ; Telling powerful stories with data -- Taking stock of your data science capabilites. Developing your business acumen ; Improving operations ; Making marketing improvements ; Enabling improved decision-making ; Decreasing lending risk and fighting financial crimes ; Monetizing data and data science expertise -- Assessing your data sciene options. Gathering important information about your company ; Narrowing in on the optimal data science use case ; Planning for future data science project success ; Blazing a path to data science career success -- The part of tens. Ten phenomenal resources for open data ; Ten free or low-cost data science tools and applications.

Subjects

Business -- Data processing COMPUTERS / Data Science / Data Modelin… Data Mining Databases Electronic Data Processing Exploration de données (Informatique) Gestion -- Informatique Guides et manuels handbooks Handbooks and manuals information retrieval information technology Management -- Data processing manuals (instructional materials) Recherche de l'information Technologie de l'information