Foundations of programming, statistics & machine learning for business analytics / Ram Gopal, Dan Philps, Tillman Weyde.

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Material type: Text

TextLanguage: English Publication details: SAGE Publications Ltd, 2023.Description: xiv, 492 pages : illustrations (chiefly color) ; 25 cmISBN:

1529620910
9781529620917
1529620902
9781529620900

Other title:

Foundations of programming, statistics and machine learning for business analytics

Subject(s):

Additional physical formats: ebook version :: No titleDDC classification:

658.472 23 GOP

Contents:

Chapter 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

Summary: Business 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.

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
General Books	CUTN Central Library Medicine, Technology & Management	Non-fiction	658.472 GOP (Browse shelf(Opens below))	Available	51989

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Previous	658.452 THE Develop your presentation skills /	658.456 LAW meetings	658.47 RAV Corporate social responsibility :	658.472 GOP Foundations of programming, statistics & machine learning for business analytics /	658.472 LAU Business analytics for sales and marketing managers :	658.500 BAK E-business and supply chain integration :	658.5 BAN Basics of supply chain management	Next

Business 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.

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