Ram Gopal – författare

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.

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.

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.

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.

This book provides a comprehensive exploration of luminescence techniques and their practical applications in spectroscopy, materials science, and microscopy. It begins with a solid introduction to the basic principles of luminescence, covering essential topics such as the physics of luminescent materials, electronic transitions, and the underlying mechanisms governing luminescent phenomena. Subsequently, it systematically examines various techniques within luminescence spectroscopy, offering a detailed analysis of instrumentation, experimental setups required for material synthesis, methods for data analysis, and emerging applications such as in-vivo and in-vitro biological imaging, targeted drug delivery, optical thermometry, and photodetectors.Emphasizing practical applications, the book elucidates not only theoretical aspects but also guides readers through the practical implementation of luminescence techniques. Real-world examples and case studies are used to illustrate how these methods have found success in diverse research contexts, catering to both novices and seasoned researchers aiming to incorporate luminescence techniques into their work.Featuring contributions from an international cross-section of experts, the book covers topics such as luminescence microscopy, biological imaging techniques using both organic and inorganic luminescent materials, and super-resolution microscopy techniques utilizing multimodal imaging approaches. Additionally, the book addresses challenges and limitations in the field, offering a balanced perspective on the practical considerations and potential pitfalls associated with luminescence methodologies.This book serves as an invaluable asset for researchers, scientists, and students seeking an insightful guide to the theory and mechanism of luminescence, along with innovative and emerging applications.

This book provides a comprehensive exploration of luminescence techniques and their practical applications in spectroscopy, materials science, and microscopy. It begins with a solid introduction to the basic principles of luminescence, covering essential topics such as the physics of luminescent materials, electronic transitions, and the underlying mechanisms governing luminescent phenomena. Subsequently, it systematically examines various techniques within luminescence spectroscopy, offering a detailed analysis of instrumentation, experimental setups required for material synthesis, methods for data analysis, and emerging applications such as in-vivo and in-vitro biological imaging, targeted drug delivery, optical thermometry, and photodetectors.Emphasizing practical applications, the book elucidates not only theoretical aspects but also guides readers through the practical implementation of luminescence techniques. Real-world examples and case studies are used to illustrate how these methods have found success in diverse research contexts, catering to both novices and seasoned researchers aiming to incorporate luminescence techniques into their work.Featuring contributions from an international cross-section of experts, the book covers topics such as luminescence microscopy, biological imaging techniques using both organic and inorganic luminescent materials, and super-resolution microscopy techniques utilizing multimodal imaging approaches. Additionally, the book addresses challenges and limitations in the field, offering a balanced perspective on the practical considerations and potential pitfalls associated with luminescence methodologies.This book serves as an invaluable asset for researchers, scientists, and students seeking an insightful guide to the theory and mechanism of luminescence, along with innovative and emerging applications.