21 hours (usually 3 days including breaks)
Good understanding of statistics.
R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining.
This course covers the manipulation of objects in R including reading data, accessing R packages, writing R functions, and making informative graphs. It includes analyzing data using common statistical models. The course teaches how to use the R software (http://www.r-project.org) both on a command line and in a graphical user interface (GUI).
He (the trainer) is excellent. Very patient, can listen well to our questions. We liked his patience and pace.
Ellen Lentz- Genentech Inc
I really liked the hands-on learning by doing.
Guihong Chen - TCF
Trainer was flexible -- he tried to address our issues. The course was well organized and the trainer did have the breadth of knowledge, both in the R program and finance industry, necessary to help us.
George Rezek - TCF
I really appreciated that he (the trainer) was a practitioner and had that perspective.
Bradley Olson - TCF
He (the trainer) was excellent. I liked the pace and the focus on principles at the beginning, not skipping over the detail.
Geoff Copps - Mediabrands
What did you like the most about the training?: Able to do hands-on and get help from trainer on how to go about working on difficult questions.
Faeiza Ab Rahman - Seagate Singapore International Headquarters Pte. Ltd
I genuinely enjoyed working 1:1 with Gunner.
Hands on examples were the most helpful.
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