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Data Analytics for Business: AI-ML-PBI-SQL-R by Wolfgang Garn at Abbey's Bookshop,
Data Analytics for Business: AI-ML-PBI-SQL-R
— —
Wolfgang Garn

Data Analytics for Business

AI-ML-PBI-SQL-R

Wolfgang Garn

$273

Hardback

Not in-store but you can order this
How long will it take?
English
Routledge
30 April 2024
Knowledge management; Production & quality control management; Operational research
We are drowning in data but are starved for knowledge. Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools. Hence, we gain knowledge by understanding the data. A roadmap to achieve this is encapsulated in the knowledge discovery in databases (KDD) process. Databases help us store data in a structured way. The structure query language (SQL) allows us to gain first insights about business opportunities. Visualising the data using business intelligence tools and data science languages deepens our understanding of the key performance indicators and business characteristics. This can be used to create relevant classification and prediction models; for instance, to provide customers with the appropriate products or predict the eruption time of geysers. Machine learning algorithms help us in this endeavour. Moreover, we can create new classes using unsupervised learning methods, which can be used to define new market segments or group customers with similar characteristics. Finally, artificial intelligence allows us to reason under uncertainty and find optimal solutions for business challenges. All these topics are covered in this book with a hands-on process, which means we use numerous examples to introduce the concepts and several software tools to assist us. Several interactive exercises support us in deepening the understanding and keep us engaged with the material.

This book is appropriate for master students but can be used for undergraduate students. Practitioners will also benefit from the readily available tools. The material was especially designed for Business Analytics degrees with a focus on Data Science and can also be used for machine learning or artificial intelligence classes. This entry-level book is ideally suited for a wide range of disciplines wishing to gain actionable data insights in a practical manner.
By:  
Imprint:   Routledge
Country of Publication:   United Kingdom
Dimensions:   Height: 246mm,  Width: 174mm, 
Weight:   680g
ISBN:   9781032372631
ISBN 10:   103237263X
Pages:   270
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
1. Introduction 2. Databases 3. Business Intelligence 4. Data Science Languages 5. Data Analytics Frameworks 6. Statistical Learning 7. Supervised Machine Learning 8. Unsupervised Machine Learning 9. Artificial Intelligence Index

Wolfgang Garn is an Associate Professor at the University of Surrey. His research interests are in the areas of artificial intelligence, machine learning, operational research and business analytics. He is the CEO and founder of Smartana, which offers SMART analytics solutions and consulting services to businesses.

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