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E.g., 2016-12-06
E.g., 2016-12-06
E.g., 2016-12-06
Dec 5th 2016

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

Average: 5.6 (21 votes)
Dec 5th 2016

Este curso te proporcionará las bases del lenguaje de programación estadística R, la lengua franca de la estadística, el cual te permitirá escribir programas que lean, manipulen y analicen datos cuantitativos. Te explicaremos la instalación del lenguaje; también verás una introducción a los sistemas base de gráficos y al paquete para graficar ggplot2, para visualizar estos datos. Además también abordarás la utilización de uno de los IDEs más populares entre la comunidad de usuarios de R, llamado RStudio.

Average: 1 (1 vote)
Nov 28th 2016

This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings.

Average: 2.3 (3 votes)
Nov 28th 2016

Learn how to use Microsoft R Server to analyze large datasets using R, one of the most powerful programming languages.

Average: 1 (1 vote)
Nov 14th 2016

Neurohacking describes how to use the R programming language and its associated package to perform manipulation, processing, and analysis of neuroimaging data. We focus on publicly-available structural magnetic resonance imaging (MRI). We discuss concepts such as inhomogeneity correction, image registration, and image visualization.

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Oct 3rd 2016

Este curso ofrece una introducción al uso de R y Rstudio en el tratamiento de datos y la edición de informes estadísticos. El nivel de esta introducción es el adecuado para cubrir las necesidades de los estudiantes de primeros cursos de grado e ingeniería en esta materia, y sirve para cualquier persona que necesite realizar y redactar informes de análisis descriptivos de datos.

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Sep 19th 2016

Using economic theory and data analysis, explore the economic lives of the poor, and the ways to design and implement effective development policy.

Average: 8 (1 vote)
Self-Paced

Learn the R statistical programming language, the lingua franca of data science. R is rapidly becoming the leading language in data science and statistics. Today, the R programming language is the tool of choice for data scientists in every industry and field. Whether you are a full-time number cruncher, or just the occasional data analyst, R will suit your needs.

Average: 7.3 (3 votes)
Aug 15th 2016

Get hands-on experience building and deriving insights from machine learning models using R, Python, and Azure Machine Learning. Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.

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Self Paced

In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis. With over 2 million users worldwide R is rapidly becoming the leading programming language in statistics and data science. Every year, the number of R users grows by 40% and an increasing number of organizations are using it in their day-to-day activities. Leverage the power of R by completing this free R online course today!

Average: 10 (3 votes)
Self-Paced

Learn the fundamentals of programming with R, from reading and writing data to customizing visualizations and performing predictive analysis. In this computer science course from Microsoft, developed in collaboration with the Technical University of Denmark (DTU), get the knowledge and skills you need to use R, the statistical programming language for data scientists, in the field of your choice.

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Mar 21st 2016

Learn how to use Hadoop technologies in Microsoft Azure HDInsight to process big data in this five week, hands-on course.

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Nov 15th 2015

Learn key concepts of data science and machine learning with examples on how to build a cloud data science solution with R, Python and Azure Machine Learning from the Cortana Analytics Suite.

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Oct 15th 2015

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

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Sep 22nd 2015

Learn the R statistical programming language, the lingua franca of data science.

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Jul 7th 2015

An introduction to sabermetrics, baseball analytics, data science, the R Language, and SQL.

Average: 10 (1 vote)
Self-Paced

Learn basic statistics in a practical, experimental way, through statistical programming with R, using examples from the health sciences.

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Jun 1st 2015

Learn mathematical and statistical tools and techniques used in quantitative and computational finance. Use the open source R statistical programming language to analyze financial data, estimate statistical models, and construct optimized portfolios. Analyze real world data and solve real world problems.

Average: 7.5 (2 votes)
Self Paced

The course gives you an introduction to using R.

Average: 5.1 (8 votes)