Foundations of programming, statistics & machine learning for business analytics

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Title:

Author:

Gopal, Ram, author.

ISBN:

9781529620917

9781529620900

Personal Author:

Gopal, Ram, author.

Physical Description:

xiv, 492 pages : illustrations (chiefly color) ; 25 cm

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

Abstract:

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.

Subject Term:

Business intelligence.

Business -- Data processing.

Management -- Statistical methods.

Added Author:

Philps, Dan,

Weyde, Tillman,

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIESDN	1:GEN-BOOK	000099828	658.4 GOP	1	Searching... Unknown
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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.