000			01987nam a2200289Ia 4500
001			3431
008			230305s2022 xx 000 0 und d
020			_a9780367520687
040			_cTBS
041			_aeng
043			_aen_UK
245		0	_aData science without makeup
260			_bCRC Press/Taylor & Francis Group, _c2022
300			_axv, 177 pages : illustrations ; 25 cm
500			_aa guidebook for end-users, analysts, and managers
505			_aPart One. The Ugly Truth _r1. What is Data Science?-- _r2. Data Science is Hard-- _r3. Our Brain Sucks-- _rPart Two. A New Hope-- _r4. Data Science for People-- _r5. Quality Assurance-- _r6. Automation-- _rPart Three. People, People, People-- _r7. Hiring a Data Scientist-- _r8 What a Data Scientist Wants-- _r9. Measuring Performance--
520			_aMikhail Zhilkin, a data scientist who has worked on projects ranging from Candy Crush games to Premier League football players physical performance, shares his strong views on some of the best and, more importantly, worst practices in data analytics and business intelligence. Why data science is hard, what pitfalls analysts and decision-makers fall into, and what everyone involved can do to give themselves a fighting chance the book examines these and other questions with the skepticism of someone who has seen the sausage being made. Honest and direct, full of examples from real life, Data Science Without Makeup: A Guidebook for End-Users, Analysts and Managers will be of great interest to people who aspire to work with data, people who already work with data, and people who work with people who work with data from students to professional researchers and from early-career to seasoned professionals.
630			_aQA MATHEMATICS _92046
650		0	_aComputer science _911917
650			_aDatabases _98234
650			_aQuantitative research _922003
700			_aZhilkin, Mikhail _eAutor _914109
902			_a1673
905			_am
942			_a1 _2ddc
999			_c3265 _d3265