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Learn R Programming online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
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Stanford University
Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.
Harvard University
A focus on the techniques commonly used to perform statistical inference on high throughput data.
An introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains. Learn to use RStudio, a popular integrated development environment (IDE). Learn to represent real-world data with vectors, matrices, arrays, lists,…
Johns Hopkins University
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening poten…
Harvard University
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.
Harvard University
Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.
Harvard University
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
Harvard University
Learn to use R programming to apply linear models to analyze data in life sciences.
Google
This course is the eighth course in the Google Data Analytics Certificate. You’ll have the opportunity to complete a case study, which will help prepare you for your data analytics job hunt. Case studies are commonly used by employers to assess analytical skills. For your case study, you’ll choose…
Great Learning
Predictive Modeling and Analytics - Regression is designed to help you better understand the basic concepts and cater to your queries on the subject. The course introduces you to predictive modeling and takes you through simple linear regression, best fit line, multiple linear regression, linear re…
Stanford University
This course covers the basics of R: a free programming language and software environment used for statistical computing and graphics. R is widely used by data analysts, statisticians, and data scientists around the world. This course covers an introduction to R, from installation to basic statistic…
Johns Hopkins University
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Esp…
Harvard University
An introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains.
Great Learning
This course will introduce you to R programming for Data Science, with a few demonstrated examples. The course shall focus you on the elements and features available in R to work on Data Science tasks. It shall begin with a brief…
Duke University
This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data exa…
Duke University
This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores?…
Great Learning
R programming has gained massive popularity among data analysts, an extensive statistical and graphical programming language. R programming is free. It can run on several macOS, Unix, and Windows platforms. With the help of R programming, we can create new statistical methods quickly and in a strai…
MIT OpenCourseWare
The goal of these videos is to provide students with tools and concepts for working with R, a free software environment for statistical computing and graphics. The students will learn the basics of R, how to navigate the R interface and deal with different data formats, how to run and interpret lin…
