Introduction to Python Data Analytics

Please follow the [[{"fid":"101","view_mode":"default","fields":{"format":"default","alignment":""},"link_text":"preparations","type":"media","field_deltas":{"6":{"format":"default","alignment":""}},"attributes":{"class":"media-element file-default","data-delta":"6"}}]] in PDF for installation of necessary tools for this class. Materials for in-class activity are HERE.

Introduction to R

Participants need to come to the class to with working installations of R, RStudio and RTools (for Windows) in order to be ready to code in the class.

The other packages used for the class are: Tidyverse. The book that will be used for the class is R for Data Science.  The following link consists all the materials used for the workshopbook will be used during the workshop. 

Download Software: R; RStudio; RTools

Introduction to Stata

Please make sure to have a working installation of Stata, ideally version 14 or higher. If you don't own a copy, you can run Stata 15 via UI's Virtual Desktop. If you plan to use the latter, please log in and test Stata out in advance (i.e., make sure you can launch it). See HERE for instructions on Virtual Desktop. Note that Stata via Virtual Desktop is only available from on-campus locations. 

The link for workshop materials is HERE.

Introduction to High Performance Computing using Argon

For this workshop, you will need to have an account on Argon. Please apply for an account HERE if you do not have an account. For Windows PC, you can use PUTTY, download it HERE. For Mac OS X users, Terminal app can be used to login to the cluster.