000			03102nam a22002657a 4500
003			NU
005			20250108111907.0
008			250108b ph ||||| |||| 00| 0 eng d
020			_a9781119811558 _q(paperback)
040			_cNU FAIRVIEW _dNU FAIRVIEW
050			_aQA 76.9 P54 2021
100	1		_aPierson, Lillian, _eauthor.
245	1	0	_aData science for dummies / _cLillian Pierson.
250			_aThird Edition.
260			_aHoboken, NJ : _bJohn Wiley & Sons, Inc., _cc2021.
300			_a416 pages : _billustrations ; _c23 cm.
365			_b2,097.00
504			_aIncludes index.
505			_aIntroduction. -- 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. -- _gIntroduction. -- Part 1 : Getting started with data science. -- Chapter 1 : Wrapping your head around data science. -- Chapter 2 : Tapping into critical aspects of data engineering. -- Part 2 : Using data science to extract meaning from your data. -- Chapter 3 : Machine learning means... using a machine to learn from data. -- Chapter 4 : Math, probability, and statistical modeling. -- Chapter 5 : Grouping your way into accurate predictions. -- Chapter 6 : Coding up data insights and decision engines. -- Chapter 7 : Generating insights with software applications. -- Chapter 8 : Telling powerful stories with data. -- Part 3 : Taking stock of your data science capabilities. -- Chapter 9 : Developing your business acumen. -- Chapter 10 : Improving operations. -- Chapter 11 : Making marketing improvements Chapter 12 : Enabling improved decision-making Chapter 13 : Decreasing lending risk and fighting financial crimes. -- Chapter 14 : Monetizing data and data science expertise. -- Part 4 : Assessing your data science options. -- Chapter 15 : Gathering important information about your company. -- Chapter 16 : Narrowing in on the optimal data science use case. -- Chapter 17 : Planning for future data science project success. -- Chapter 18 : Blazing a path to data science career success. -- Part 5 : The part of tens. -- Chapter 19 : Ten phenomenal resources for open data. -- Chapter 20 : Ten free or low-cost data science tools and applications. -- Index.
520			_a"Data science is the alchemy that allows us to turn all the 1s and 0s floating around out there into knowledge. Data Science For Dummies will open your eyes to everything data can do (and a few things it can't). This is the easy introduction to everything from wrangling data to prediction models, and even sprucing up the results with visualizations. Why would you want to do all that? This book will set you straight on that point, too, with real-world applications and examples you can take to the bank (or wherever else the data insights tell you to go)"--Publisher marketing.
650			_2INFORMATION SCIENCE.
650			_2INFORMATION TECHNOLOGY. _aMANAGEMENT.
650			_2TECHNOLOGICAL INIVATIONS. _aMANAGEMENT.
942			_2lcc _cBK _n0
999			_c5462 _d5462