Data science and analysis: general

This forward-thinking handbook integrates philosophy of science, study design, and contemporary quantitative methods in clinical psychology.

From measles to COVID, discover how data allied with statistical and probabilistic reasoning are essential to making rational decisions.

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

The first edition of Analysis for Longitudinal Data has become a classic.

Data has dramatically changed how our world works.

Praise forEnvisioning the Survey Interview of the Future "e;This book is an excellent introduction to some brave new technologies .

This book mainly focuses on why data analytics fails in business.

A hands-on lab guide in the R programming language that enables students in the life sciences to reason quantitatively about living systems across scalesThis lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems.

Leading technologists, historians, and journalists reveal the stories behind the computer coding that touches all aspects of life-for better or worseFew of us give much thought to computer code or how it comes to be.

Through this book's unique model comparison approach, students and researchers are introduced to a set of fundamental principles for analyzing data.

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.

This forward-thinking handbook integrates philosophy of science, study design, and contemporary quantitative methods in clinical psychology.

Many librarians' job responsibilities increasingly require them to understand and handle data.

This book effectively exposes and illustrates the ideas and tools for optimal healthcare decisions taken from evidence.

How can you carry out discourse analysis using corpus linguistics?

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

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

Practical.

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.

Provides thorough and comprehensive coverage of new and important quantitative methods in data science, for graduate students and practitioners.

Achieve successful digital transformation with this authoritative guide designed specifically for established organizations.

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

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

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

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.

Crime research has grown substantially over the past decade, with a rise in evidence-informed approaches to criminal justice, statistics-driven decision-making and predictive analytics.

Data has never mattered more.

Full of practical advice and real-world examples, this step-by-step guide offers you an accessible introduction to doing quantitative social research using Microsoft Excel.

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.

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

Data science has never had more influence on the world.

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

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

Single-subject research designs have been used to build evidence to the effective treatment of problems across various disciplines including social work, psychology, psychiatry, medicine, allied health fields, juvenile justice, and special education.

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?

From the quality of the air we breathe to the national leaders we choose, data and statistics are a pervasive feature of daily life and daily news.

Management research is criticised for poor research practices and not addressing important problems.

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

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.

Statistics and data for the non-specialist*The Collins Academic Skills Series - winner of the ELTon 2014 Innovation in Learner Resources Award.

Providing clear, practical explanations of research methods in business studies, this guide is indispensable for students writing reports.

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