Data science is huge, and the ability to tackle analysis problems in a highly specialized and fast language will help people who are not engineers approach the topic.
Data science is huge, and the ability to tackle analysis problems in a highly specialized and fast language will help people who are not engineers approach the topic.
Using R, an open-source, dedicated statistical language will appeal to a broad audience from healthcare data analysts to software engineers looking to learn more high level statistical packages
If you want to level-up your analysis skills and learn a new way to process, analyze and visualize data, join us and learn the fundamentals of R.
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Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience.
This class is an intensive introduction to R. It starts with the very basics of assigning variables and reading data. It then progresses to using RMarkdown for document and presentation creation.
Statistical computing is employed within a diverse range of industries. In recent years, an open source project, R, has emerged as the preeminent statistical computing platform. With its unsurpassed library of freely available packages, R is capable of addressing almost every statistical inference ...
This course is a 35-hour program designed to provide a comprehensive introduction to R. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data.
In this course, you’ll use advanced modeling techniques to predict, classify and group data. You’ll use more advanced techniques to help you understand both inferential and predictive approaches.
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