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Beginning in January 2019, we will be holding classes on using our new high-performance servers for statistical computing, introduction to R, introduction to Stata, and qualitative analysis in NVivo.
We are also teaching introductory classes on R, Stata, and NVivo. Each of these introductory classes will be taught in two parts. Attendees are welcome to attend one or both sessions. However, the second session of each course will assume that participants are familiar with the material presented in the first session.
Please note: If you are within IBS and will be using this software on a regular basis, the Citrix class is required, see below for more information. For non-IBS users, there will be a quick intro of how to log in and use Citrix at the beginning of each class.
Note about Citrix for individuals within IBS: Our new computation server environment runs Windows under Citrix, which allows us to share memory, storage, and CPU. We have R, Stata, SAS, SPSS, Anaconda (scientific Python), and Microsoft Office available on each server. The server allows you to run analyses that require more memory, CPU, and storage that your laptop can support. It is a high-security system that can be used with confidential data and can run large jobs overnight or longer. Citrix controls, secures, and manages the new system. Our class will show you how to get an account and use Citrix to run your statistical analyses. As mentioned, if you are going to be using these programs on a regular basis here at IBS, it is required that you take Ashton’s class. All data and code will be provided before the class. Classes will be limited to 15 students and taught in the IBS computer lab (IBS 150) from 1:00 pm-2:30 pm.
Introduction to R, taught by Josh Goode
Introduction to Stata, taught by Josh Goode
Introduction to NVivo, taught by Josh Goode
Introduction to Statistical Computing on Citrix, taught by Ashton Mellott (For IBS individuals). NOTE: Content is repeated for each session of this class to allow for all IBS affiliates to attend. Register for Intro to Statistical Computing
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