WINNER: International Book Awards 2023 - Business: Technology (1st edition) Not everyone needs to be a data scientist, but everyone should be data literate in a fast-moving world that brings new technological developments every day.
The importance of data analytics is well known, but how can you get end users to engage with analytics and business intelligence (BI) when adoption of new technology can be frustratingly slow or may not happen at all?
Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general.
With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples.
In an age where customer opinion and feedback can have an immediate, major effect upon the success of a business or organization, marketers must have the ability to analyze unstructured data in everything from social media and internet reviews to customer surveys and phone logs.
This easy-to-follow book will revolutionise how you approach text mining and data analysis as well as equipping you with the tools, and confidence, to navigate complex qualitative data.
This new book from bestselling author Jordan Morrow empowers data professionals to work and operate more effectively in an organizational setting, equipping them with key business knowledge and skills.
Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.
An insider's guide to data librarianship packed full of practical examples and advice for any library and information professional learning to deal with data.
This volume highlights the ways in which recent developments in corpus linguistics and natural language processing can engage with topics across language studies, humanities and social science disciplines.
A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences.