Data science and analysis: general

'Eye-opening.

An engaging introduction to data science that emphasizes critical thinking over statistical techniquesAn introduction to data science or statistics shouldn't involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize.

Tauchen Sie ein in die faszinierende Welt der Large Language Models (LLMs) und entdecken Sie, wie Sie diese mächtigen Werkzeuge nutzen können, um Ihre eigenen KI-Lösungen erfolgreich zu gestalten.

Presents an analysis and visualization of social networks integrating theory, applications, and professional software for performing network analysis (Pajek).

Many businesses are based on creating desirable experiences, products and services for users.

The GIS Guide to Public Domain Data gives users of geographic information systems (GIS) relevant information about the sources and quality of available public domain spatial data.

Become an expert at using Python for advanced statistical analysis of data using real-world examplesAbout This BookClean, format, and explore data using graphical and numerical summariesLeverage the IPython environment to efficiently analyze data with PythonPacked with easy-to-follow examples to develop advanced computational skills for the analysis of complex dataWho This Book Is ForIf you are a competent Python developer who wants to take your data analysis skills to the next level by solving complex problems, then this advanced guide is for you.

A reader-friendly introduction to the exciting world of statistics for the analysts, business leaders and policymakers of tomorrow.

This beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems.

Textbook that uses examples and Jupyter notebooks from across the sciences and engineering to teach Python programming.

SHORTLISTED: Business Book Awards 2025 - People, Culture & ManagementOrganizations often start their data journey by either procuring the technology or hiring the people.

Learn how to easily transform your data into engaging, interactive visual reports!

Computational analysis of natural science experiments often confronts noisy data due to natural variability in environment or measurement.

Large surveys are becoming increasingly available for public use, and researchers are often faced with the need to analyse complex survey data to address key scientific issues.

Become an expert at using Python for advanced statistical analysis of data using real-world examplesAbout This BookClean, format, and explore data using graphical and numerical summariesLeverage the IPython environment to efficiently analyze data with PythonPacked with easy-to-follow examples to develop advanced computational skills for the analysis of complex dataWho This Book Is ForIf you are a competent Python developer who wants to take your data analysis skills to the next level by solving complex problems, then this advanced guide is for you.

Digital transformation is a vital practice for organizations trying to keep up with competitors, but with new digital approaches constantly promising to revolutionize the workplace it can feel impossible to keep up.

Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

As an emerging discipline, data science broadly means different things across different areas.

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.

A wide-ranging discussion of factors that impede the cumulation of knowledge in the social sciences, with suggested solutions.

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.

Predictive analytics has revolutionized marketing practice.

The global data market is estimated to be worth $64 billion dollars, making it a more valuable resource than oil.

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.

Leaders, don't let AI get the best of you.

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

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

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.

Humberto Barreto shows professors how to teach macroeconomic models and incorporate data using Microsoft Excel® with free files and videos.

Complete eight data science projects that lock in important real-world skillsalong with a practical process you can use to learn any new technique quickly and efficiently.

The first systematic guide to the tools researchers employ to explore and answer broad macro-historical questions in the social sciences.

A biostatistics textbook for upper undergraduate and graduate students, covering analyses used by biologists and now including R code.

It humanizes high-level debates over indicators and data in development aid, showing how they are used to make life-or-death decisions.

This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics.

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?

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.

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.