000			03814cam a2200493 i 4500
003			CUTN
005			20250416104026.0
008			220926s2023 caua 001 0 eng d
020			_a1529620910
020			_a9781529620917
020			_a1529620902
020			_a9781529620900
020			_z9781529621570
041			_aEnglish
042			_alccopycat
082	0	4	_a658.472 _223 _bGOP
100	1		_aGopal, Ram,
100	1		_eauthor.
245	1	0	_aFoundations of programming, statistics & machine learning for business analytics / _cRam Gopal, Dan Philps, Tillman Weyde.
246	3		_aFoundations of programming, statistics and machine learning for business analytics
260			_bSAGE Publications Ltd, _c2023.
300			_axiv, 492 pages : _billustrations (chiefly color) ; _c25 cm
505			_tChapter 1: Introduction To Programming And Statistics Chapter 2: Summarizing And Visualizing Data Chapter 3: Summarizing And Visualizing Data Chapter 4: Programming Fundamentals Chapter 5: Programming Fundamentals Chapter 6: Distributions Chapter 7: Statistical Testing – Concepts and Strategy Chapter 8: Statistical Testing – Concepts and Strategy Chapter 9: Nonparametric Tests Chapter 10: Reality Check Chapter 11: Fundamentals of Estimation Chapter 12: Linear Models Chapter 13: General Linear Models Chapter 14: Regression Diagnostics And Structure Chapter 15: Timeseries And Forecasting Chapter 16: Introduction To Machine Learning Chapter 17: Model Selection And Cross Validation Chapter 18: Regression Models In Machine Learning Chapter 19: Classification Models And Evaluation Chapter 20: Automated Machine Learning
520			_aBusiness Analysts and Data Scientists are in huge demand, as global companies seek to digitally transform themselves and leverage their data resources to realize competitive advantage. This book covers all the fundamentals, from statistics to programming to business applications, to equip you with the solid foundational knowledge needed to progress in business analytics. Assuming no prior knowledge of programming or statistics, this book takes a simple step-by-step approach which makes potentially intimidating topics easy to understand, by keeping Maths to a minimum and including examples of business analytics in practice. Key features: · Introduces programming fundamentals using R and Python · Covers data structures, data management and manipulation and data visualization · Includes interactive coding notebooks so that you can build up your programming skills progressively Suitable as an essential text for undergraduate and postgraduate students studying Business Analytics or as pre-reading for students studying Data Science. Ram Gopal is Pro-Dean and Professor of Information Systems at the University of Warwick. Daniel Philps is an Artificial Intelligence Researcher and Head of Rothko Investment Strategies. Tillman Weyde is Senior Lecturer at City, University of London.
650		0	_aBusiness intelligence.
650		0	_aBusiness
650		0	_aManagement
650		7	_aBusiness intelligence.
650		7	_aComputer programming.
650		7	_aManagement
650		0	_xData processing.
650		0	_xStatistical methods.
650		7	_2fast _94
650		7	_2fast _94
650		7	_xStatistical methods. _2fast
700	1		_aPhilps, Dan,
700	1		_aWeyde, Tillman,
700	1		_eauthor.
700	1		_eauthor.
776	0	8	_iebook version : _z9781529621570
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBOOKS
999			_c44184 _d44184