Data science and analysis: general

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.

Understand and harness the power of artificial intelligence to drive growth and innovation with this comprehensive guide.

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.

Introduces fundamental theory, basic and advanced algorithms, and system design issues.

Master complex problems and face radical uncertainty by unleashing the power of small data Is your business using data to its optimum potential?

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.

While data science is powering most modern organisations its technical intricacies often remain confined to a select few.

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.

A user-friendly, introductory, learning-by-doing bridge between classical and machine learning time series analysis with R.

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.

Microsoft Excel is a powerful tool that can transform the way you use 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.

Solving complex geospatial problems and delivering solutions has never been easier.

The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.

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.

La guía definitiva del pensamiento estadístico.

This is an overview and structured analysis of contemporary multilayer network visualization.

Introduces network inspired approaches for the analysis and integration of large, heterogeneous data sets in the life sciences.

A comprehensive introduction and teaching resource for state-of-the-art Qualitative Comparative Analysis (QCA) using R software.

This modern approach integrates classical and contemporary methods, fusing theory and practice and bridging the gap to statistical learning.

This compact, entry-level Handbook equips applied practitioners to choose and use core models for real-world data - with R and SAS.

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.

This 2001 book presents important and practically relevant quantitative models used for marketing research.

A unique treatment of evolutionary games, indirect reciprocity, sequential decision making, and application to wireless and social networks.

The last decade has witnessed various technological advances in life sciences, especially high throughput technologies.

Predictive analytics has revolutionized marketing practice.

How best to interpret and apply geochemical data to understand geological processes, for graduate students, researchers, and professionals.

This is the first comprehensive overview of the exciting field of the ''science of science''.

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.

This integrated introduction to fundamentals, computation, and software is your key to understanding and using advanced Bayesian methods.

Explains the value of no-boundary thinking (NBT) in biological and biomedical research in helping to define impactful research questions.

This volume introduces a new framework for conceptualizing and achieving corpus representativeness in a rigorous, yet practical way.