Data science and analysis: general

A methodological toolkit for social scientists to create their own infrastructure for collecting and analyzing social media big data.

The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time.

Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.

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

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 concise, systematic introduction to the principles of analysis of variance for post-graduates and professionals.

From Social Science to Data Science is a fundamental guide to scaling up and advancing your programming skills in Python.

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data.

Society faces many challenges in workplaces, everyday life situations, and education contexts.

Value-Driven Data explains how data and business leaders can co-create and deploy data-driven solutions for their organizations.

This is a book about how ecologists can integrate remote sensing and GIS in their daily work.

Este libro, condensa y adapta distintas prácticas y ejemplos de las herramientas más utilizadas en el análisis de datos: Power BI Desktop, R – RStudio y Knime.

This book is concerned with statistical methods for the analysis of data collected from a survey.

Whilst providing a fundamental understanding of computational social science, this book delves into the tools and techniques used to build familiarity with programming and gain context into how, why and when they are introduced.

An introduction to the complex world of climate models that explains why we should trust their predictions despite the uncertainties.

Data is your business.

Data Alchemy in the Insurance Industry: The Transformative Power of Big Data Analytics is a groundbreaking work that explores the transformative power of big data analytics within the insurance industry.

Despite businesses often being based on creating desirable experiences, products and services for consumers, many fail to consider the end user in their planning and development processes.

A methodological toolkit for social scientists to create their own infrastructure for collecting and analyzing social media big data.

Simulated test collections may find application in situations where real datasets cannot easily be accessed due to confidentiality concerns or practical inconvenience.

This book addresses common questions from HCI researchers when trying to do statistical analysis on their data.

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

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

How can HR professionals utilize and leverage their organization's data effectively, with the use of AI, for more talent attraction, better employee engagement and higher talent retention to ultimately drive performance?

Surveys major topics in the epistemology of big data based scientific approaches and defends an inductivist view of these approaches.

A comprehensive compilation of new developments in data linkage methodology The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates.

'Eye-opening.

A year of HBR's essential thinking on techall in one place.

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.

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data.

FINALIST: Next Generation Indie Book Awards 2024 - Education/Academic Non-FictionBe Data Analytical is the book organizations and individuals need to understand how to truly use analytics to turn data into valuable insights and drive smarter decision making.