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  • Format: ePub

Analytical skills are in high demand but short supply. Through a unique combination of data visualisation and analytics (both theoretical and applied), this ground-breaking textbook provides you with the expertise to analyse, interpret and communicate data with confidence, to inform real-world decision-making.
Key features include:
. Clear signalling of introductory, intermediate and advanced content
. An entire chapter dedicated to data visualisation, introducing Tableau for storytelling with data
. Motivational cases throughout showing how the theory relates to real life
…mehr

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  • Größe: 36.08MB
Produktbeschreibung
Analytical skills are in high demand but short supply. Through a unique combination of data visualisation and analytics (both theoretical and applied), this ground-breaking textbook provides you with the expertise to analyse, interpret and communicate data with confidence, to inform real-world decision-making.

Key features include:
. Clear signalling of introductory, intermediate and advanced content
. An entire chapter dedicated to data visualisation, introducing Tableau for storytelling with data
. Motivational cases throughout showing how the theory relates to real life
. A wide variety of end-of-chapter exercises to test your understanding of the topics covered
. Online examples and datasets to help you master your analytics skills through hands-on learning

Lecturers also have access a range of online resources developed to support teaching, including a Teaching Guide, solutions to end-of-chapter exercises, PowerPoints and a testbank.

Business Analytics: Applied Modelling and Prediction
is suitable for undergraduate and postgraduate students of Business Analytics.

Dr James Abdey is an Associate Professor (Education) in Statistics at The London School of Economics and Political Science (LSE).

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, D ausgeliefert werden.

Autorenporträt
Dr James Abdey is an Associate Professorial Lecturer (Education) in Statistics having gained his PhD in 2010 from LSE, asking `To p, or not to p?'! He teaches the Department's large service-level undergraduate courses in mathematical statistics and quantitative methods, as well as elective courses in market research. His research interests include market research techniques and forensic statistics - the interplay of statistics and the law.

James has been closely involved with the University of London International Programmes for a number of years, for which he serves as Associate Academic Director, and helped launch the BSc Data Science and Business Analytics programme. James is a Convenor for some courses in the LSE Online portfolio of programmes, and lectures during LSE's Summer School. Outside of academia, he has also worked on various quantitative-based consultancy projects in areas including the art market and the World Gold Council.

Answer: p. With probability 1.