Learn R from Edx

Edx offers you 60 courses, to learn R now!

Edx, is a massive open online course (MOOC) provider. It hosts online university-level courses in a wide range of disciplines to a worldwide student body, including some courses at no charge. It also conducts research into learning based on how people use its platform. EdX is a nonprofit organization and runs on the free Open edX open-source software platform.The Massachusetts Institute of Technology and Harvard University created edX in May 2012. More than 140 schools, nonprofit organizations, and corporations offer or plan to offer courses on the edX website. As of 29 December 2018, edX has around 18 million students taking more than 2,200 courses online. - read more on Wikipedia

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Statistics and R

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

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Analyzing Big Data with Microsoft R

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

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Data Science: R Basics

Build a foundation in R and learn how to wrangle^ analyze^ and visualize data.

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Foundations of Data Analysis - Part 1: Statistics Using R

Use R to learn fundamental statistical topics such as descriptive statistics and modeling.

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Introduction to R for Data Science

Learn the R statistical programming language^ the lingua franca of data science in this hands-on course.

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Principles of Machine Learning: R Edition

Get hands-on experience building and deriving insights from machine learning models using R and Azure Notebooks.

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Data Science Research Methods: R Edition

Get hands-on experience with the science and research aspects of data science work^ from setting up a proper data study to making valid claims and inferences from data experiments.

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Explore Statistics with R

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

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Programming in R for Data Science

Learn the fundamentals of programming with R^ from reading and writing data to customizing visualizations and performing predictive analysis.

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Essential Math for Machine Learning: R Edition

Learn the essential mathematical foundations for machine learning and artificial intelligence.

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Case Studies in Functional Genomics

Explore data analysis of several experimental protocols^ using open source software^ including R and Bioconductor.

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Introduction to Linear Models and Matrix Algebra

Learn to use R programming to apply linear models to analyze data in life sciences.

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