From Data to Decisions in Music Education Research: Data Analytics and the General Linear Model Using R, Wesolowski Brian C.

Автор: Bremer Martina, Doerge Rebecca W.
Название: Using R at the Bench: Step-By-Step Data Analytics for Biologists
ISBN: 1621821129 ISBN-13(EAN): 9781621821120
Издательство: Неизвестно
Рейтинг:
Цена: 102690.00 T
Наличие на складе: Невозможна поставка.
Описание: Using R at the Bench: Step-by-Step Data Analytics for Biologists is a convenient bench-side handbook for biologists, designed as a handy reference guide for elementary and intermediate statistical analyses using the free/public software package known as R. The expectations for biologists to
have a more complete understanding of statistics are growing rapidly. New technologies and new areas of science, such as microarrays, next-generation sequencing, and proteomics, have dramatically increased the need for quantitative reasoning among biologists when designing experiments and
interpreting results. Even the most routine informatics tools rely on statistical assumptions and methods that need to be appreciated if the scientific results are to be correct, understood, and exploited fully.

Although the original Statistics at the Bench is still available for sale and has all examples in Excel, this new book uses the same text and examples in R. A new chapter introduces the basics of R: where to download, how to get started, and some basic commands and resources. There is also a new
chapter that explains how to analyze next-generation sequencing data using R (specifically, RNA-Seq). R is powerful statistical software with many specialized packages for biological applications and Using R at the Bench: Step-by-Step Data Analytics for Biologists is an excellent resource for those
biologists who want to learn R. This handbook for working scientists provides a simple refresher for those who have forgotten what they once knew and an overview for those wishing to use more quantitative reasoning in their research. Statistical methods, as well as guidelines for the interpretation
of results, are explained using simple examples. Throughout the book, examples are accompanied by detailed R commands for easy reference.

Автор: Musa, Kamarul Imran
Название: Data Analysis in Medicine and Health using R
ISBN: 1032284145 ISBN-13(EAN): 9781032284149
Издательство: Taylor&Francis
Рейтинг:
Цена: 45930.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Argote Cusi Milenka Linneth, Parra Bernal Leуn Darнo
Название: Global Entrepreneurship Analytics: Using GEM Data
ISBN: 0367542099 ISBN-13(EAN): 9780367542092
Издательство: Taylor&Francis
Рейтинг:
Цена: 22450.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This innovative book proposes new methodologies for the measurement of entrepreneurship by applying techniques of demography, engineering, mathematics and statistics. This book will be of value to students at an advanced level, academics, and researchers in the fields of Entrepreneurship, Business analytics and Research Methodology.

Автор: Parra Bernal, Leon Dario , Argote Cusi, Milenka L
Название: Global Entrepreneurship Analytics
ISBN: 0367321173 ISBN-13(EAN): 9780367321178
Издательство: Taylor&Francis
Рейтинг:
Цена: 53070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This innovative book proposes new methodologies for the measurement of entrepreneurship by applying techniques of demography, engineering, mathematics and statistics. This book will be of value to students at an advanced level, academics, and researchers in the fields of Entrepreneurship, Business analytics and Research Methodology.

Автор: Musa, Kamarul Imran
Название: Data Analysis in Medicine and Health using R
ISBN: 1032284153 ISBN-13(EAN): 9781032284156
Издательство: Taylor&Francis
Рейтинг:
Цена: 148010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Comber, Lex Brunsdon, Chris
Название: Geographical data science and spatial data analysis
ISBN: 1526449366 ISBN-13(EAN): 9781526449368
Издательство: Sage Publications
Рейтинг:
Цена: 50680.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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 some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.

Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics.

This is a ‘learning by doing’ textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.

Автор: ElAtia Samira
Название: Handbook of Data Mining and Learning Analytics
ISBN: 1118998235 ISBN-13(EAN): 9781118998236
Издательство: Wiley
Рейтинг:
Цена: 115050.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates.

Автор: Comber, Lex Brunsdon, Chris
Название: Geographical data science and spatial data analysis
ISBN: 1526449358 ISBN-13(EAN): 9781526449351
Издательство: Sage Publications
Рейтинг:
Цена: 138330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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 some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.

Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics.

This is a ‘learning by doing’ textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.

Автор: Garson G. David
Название: Data Analytics for the Social Sciences: Applications in R
ISBN: 0367624273 ISBN-13(EAN): 9780367624279
Издательство: Taylor&Francis
Рейтинг:
Цена: 91860.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a complete exploration of statistical data analysis in R for a wide variety of social science disciplines and quantitative methods courses.

Автор: Garson, G. David
Название: Data Analytics for the Social Sciences
ISBN: 036762429X ISBN-13(EAN): 9780367624293
Издательство: Taylor&Francis
Рейтинг:
Цена: 255200.00 T
Наличие на складе: Нет в наличии.

Автор: de Mesquita Josй Marcos Carvalho, Kostelijk Erik
Название: Marketing Analytics: Statistical Tools for Marketing and Consumer Behavior Using SPSS
ISBN: 103205218X ISBN-13(EAN): 9781032052182
Издательство: Taylor&Francis
Рейтинг:
Цена: 148010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Marketing Analytics provides guidelines in the application of statistics using SPSS for students and professionals using quantitative methods in Marketing and Consumer Behaviour.

Автор: Carvalho De Mesquita, Jose Marcos Kostelijk, Erik (amsterdam University Of Applied Sciences, Netherlands)
Название: Marketing analytics
ISBN: 1032052198 ISBN-13(EAN): 9781032052199
Издательство: Taylor&Francis
Рейтинг:
Цена: 40820.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Marketing Analytics provides guidelines in the application of statistics using SPSS for students and professionals using quantitative methods in Marketing and Consumer Behaviour.