Data science and analysis: general

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Problemlos können große Datenmengen und Informationen in Sekundenbruchteilen um die ganze Welt geschickt werden.

People and Data is an innovative exploration of the relationship between non-data professionals and data in an organization's success, and why it is only when they work together that a business can unlock its full potential.

Los contratos inteligentes (Smart Contracts) son una de las piedras angulares de la tecnología blockchain.

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis.

The aim of this dissertation was to examine two so far separately considered complex constructs, fatigue and mental health, concerning a target group that has to cope with high stress, extraordinary workload, high risks and responsibility: professional pilots.

A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics.

Bayesian analyses go beyond frequentist techniques of p-values and null hypothesis tests, providing a modern understanding of data analysis.

Make any team or business data driven with this practical guide to overcoming common challenges and creating a data culture.

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

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

Spatial Data Science will show GIS scientists and practitioners how to add and use new analytical methods from data science in their existing GIS platforms.

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

This handbook offers everything students and scholars need to master the craft of developing insightful and delightful data visualisations.

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

Data has dramatically changed how our world works.

Single system, or single case, design studies are a convenient method for evaluating practice, allowing professionals to track clients' response to treatment and change over time.

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

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

Recent data shows that 87% of Artificial Intelligence/Big Data projects don't make it into production (VB Staff, 2019), meaning that most projects are never deployed.

Textbook for students and researchers in oceanography and Earth science on theory and practice of time series analysis using MATLAB.

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

Measuring the abundance of individuals and the diversity of species are core components of most ecological research projects and conservation monitoring.

In 1967 the University of Toronto School of Library Science held a two-day colloquium on the Anglo-American Cataloging Rules, the first public discussion of the new cataloguing code.

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

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?

This book provides a computational and algorithmic foundation for techniques in topological data analysis, with examples and exercises.

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.

Four leading experts convey the promise of data science and examine challenges in achieving its benefits and mitigating some harms.

Data has never mattered more.

In order to assist a hospital in managing its resources and patients, modelling the length of stay is highly important.

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.

Every new tractor now contains built-in sensors that collect data and stream it to cloud-based infrastructure.

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

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