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.
DurationData 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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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.
Accelebrate's Introduction to R Programming training course teaches attendees how to use R programming to explore data from a variety of sources by building inferential models and generating charts, graphs, and other data representations.
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 for data scientists and statisticians that already have basic R & C++ coding skills and R code and need advanced R coding skills. The purpose is to give a practical advanced R programming course to participants interested in applying the methods at work.
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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