000			01947nam a22002657a 4500
005			20230302151637.0
008			230302b |||||||| |||| 00| 0 eng d
020			_a9781119811558
082			_a006.312 _bPIE
100			_aPierson, Lillian
245			_aData science for dummies _cLillian Pierson
250			_a3rd ed.
260			_aHoboken, NJ : _bFor Dummies, _c 2021.
300			_axii, 416 pages : _billustrations, charts ; _c24 cm
505			_tPart 1. Getting started with Data Science _tPart 2. Using data science to extract meaning from your data _tPart 3. Taking stock of your data science capabilities _tPart 4. Assessing your data science options. _tPart 5. The part of tens
520			_aMonetize 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
650			_aData mining
650			_aInformation retrieval
650			_aDatabases
650			_aBusiness--Data processing
650			_aBig data
650			_aStrategic planning
650			_aTechnological innovations--Management
942			_2ddc _cBK
999			_c1919 _d1919