Pierson, Lillian <br/><br/>
Data science for dummies 
Lillian Pierson 
 - 3rd ed. 
 - Hoboken, NJ :  For Dummies,    2021. 
 - xii, 416 pages :   illustrations, charts ;   24 cm 
<br/><br/> 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 
<br/><br/> 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 
<br/><br/><label>ISBN: </label>9781119811558 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining<br/>Information retrieval<br/>Databases<br/>Business--Data processing<br/>Big data<br/>Strategic planning<br/>Technological innovations--Management
<br/><br/><label>Dewey Class. No.: </label>006.312  / PIE