Doing Data Science in R. An Introduction for Social Scientists, Paperback - Mark Andrews

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With an emphasis on describing concepts, showing through example and illustrating points with graphs and displays, this book provides readers with ...

An invaluable, step-by-step guide to data management in R for social science researchers. This book shows students how to recode data, combine data...

Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science, specifica...

Quantitative social scientists use survival analysis to understand the forces that determine the duration of events. This Element provides a guidel...

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected ...

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An invaluable step-by-step, pedagogically engaging guide to data management in R for social science researchers. This book shows students how to re...

Description"One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is...

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It...

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This textbook provides a truly unique introduction that integrates the concepts and methods of optics, molecular and cellular biology, image analys...

Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but approachable g...

A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniq...

Shows how innovation in computer vision methods can markedly lower the costs of using images as data. Introduces readers to deep learning algorithm...

A proven textbook based on materials developed over the last decade to teach linear, generalized, and mixed model analysis to students of ecology, ...

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. Bu...

A popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned resea...

Computational approaches offer exciting opportunities for us to do social science differently. This beginner's guide discusses a range of computati...

Monte Carlo techniques have increasingly become a key method used in quantitative research. This book introduces engineers and scientists to the ba...

Reducere. R is a free, open source programming language that's become a popular standard for financial and economic analysis. Quantitative Investment Portfol...

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Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics...

Contributor(s): Author: Muller Andreas C.Author: Sarah GuidoMachine learning has become an integral part of many commercial applications and resear...

Reducere. Learn statistics without fear Build a solid foundation in data analysis. Be confident that you understand what your data are telling you and that y...

Reducere. Contributor(s): Author: Ashutosh R. NandeshwarAuthor: Devine RodgerDiscover the techniques used by the top R programmers to generate data-driven so...

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of...

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Reducere. This book, presented in full color for easy reading, is highly recommended for students and healthcare professionals who want to integrate neurofee...

DescriptionProbability and Statistics for Data Science: Math + R + Data covers "math stat"--distributions, expected value, estimation etc.--but tak...