Название: Data Analytics for Business: AI-ML-PBI-SQL-R
Автор: Wоlfgаng Gаrn
Издательство: Routledge
Год: 2024
Страниц: 283
Язык: английский
Формат: pdf (true)
Размер: 29.2 MB

We are drowning in data but are starved for knowledge. Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools. Hence, we gain knowledge by understanding the data. A roadmap to achieve this is encapsulated in the knowledge discovery in databases (KDD) process. Databases help us store data in a structured way. The structure query language (SQL) allows us to gain first insights about business opportunities. Visualising the data using business intelligence tools and Data Science languages deepens our understanding of the key performance indicators and business characteristics. This can be used to create relevant classification and prediction models; for instance, to provide customers with the appropriate products or predict the eruption time of geysers. Machine Learning algorithms help us in this endeavour. Moreover, we can create new classes using unsupervised learning methods, which can be used to define new market segments or group customers with similar characteristics. Finally, Artificial Intelligence (AI) allows us to reason under uncertainty and find optimal solutions for business challenges. The material was especially designed for Business Analytics degrees with a focus on Data Science and can also be used for Machine Learning or Artificial Intelligence classes. Data Science languages such as R provide a platform to access the state-of-the-art methods for analysing business data.

Название: Analysis of Epidemiologic Data Using R
Автор: Robert Hirschs
Издательство: Springer
Год: 2024
Страниц: 115
Язык: английский
Формат: pdf (true), epub
Размер: 10.4 MB

This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpretation of epidemiological data. To be informed consumers of this information, people need to understand the nature and analysis of these data. Effort is made to emphasize concepts rather than mathematics. Subjects range from description of the frequencies of disease to the analysis of associations between the occurrence of disease and exposure. Those analyses begin with simple associations and work up to complex relationships that involve the control of extraneous characteristics. Analyses rely on the statistical software R, which is freeware in wide use by professional epidemiologists and other scientists. R is free statistical software that is available for download on the web. It is usually run from an interface called “RStudio.” RStudio is set up with four quadrants. The lower left is where the programs are run. The lower right is where the documentation is available and where graphic output appears. Statistical packages for R have been developed by users and made available to the R community. These packages as well as the original collection of programs are available free of charge and are widely used by epidemiologists and other researchers. R has many collections of programs available.

Название: A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio
Автор: Marley W. Watkins
Издательство: Routledge
Год: 2021
Страниц: 199
Язык: английский
Формат: pdf (true)
Размер: 28.0 MB

This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open source software R. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of R and RStudio code, and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background.

Название: R. Книга рецептов
Автор: Дж. Д. Лонг, Пол Титор
Год выпуска: 2020
Жанр: программирование
Издательство: ДМК Пресс
Язык: Русский
Качество: Отличное
Страниц: 510
Формат: PDF
Размер файла: 19,2 Mb

Язык R представляет собой мощный инструмент для статистики, графики и статистического программирования. Он ежедневно используется десятками тысяч людей для проведения серьезного статистического анализа. Это бесплатная система с открытым исходным кодом, реализация которой является коллективным достижением большого числа умных, трудолюбивых людей.