21 hours (usually 3 days including breaks)
R is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students. It covers language fundamentals, libraries and advanced concepts. Advanced data analytics and graphing with real world data.
Developers / data analytics
Lectures and Hands-on
I get answers on all my questions.
good interaction with the trainer, dynamic exchange of knowledge
I really liked the exercises on time series modeling.
New tool which is “R” and I find it interesting to know the existence of such tool for data analysis.
Michael Lopez - Teleperformance
The tool was interesting and I see the use. I would like to learn about more about it.
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