Data Services

CUNY-wide licensed software is available for campus community.

CUNY Virtual Desktop - Remotely Access Software Anytime! Anywhere!

VMware Horizon Client

To remotely access software using CUNY Virtual Desktop (VMware Horizon Client):

• Install it onto your computer, tablet or smartphone.
• Access your applications by clicking on software icons on this page.
• Log in using your CUNYfirst ID followed by @login.cuny.edu, and your CUNYfirst password.
• Save your data to a flash drive ( Save to USB Device via Windows, Save to USB via Mac) or local drive (Save Locally via Windows, Save Locally via Mac). Be sure to save your data before exiting the CUNY Virtual Desktop or your work will be lost. Print to any printer connected to your local device.
• For additional help, please see the FAQ’s, usage instructions, or contact QC ITS (Information Technology Services).

You can reach QC ITS via:

• Email: helpdesk@qc.cuny.edu​
• Live on-line support
• Create your ticket - log into Self Service (use your QC Username if available; otherwise, login as a guest)
• Phone: 718-997-4444
• In person: Dining Hall, Room 151 (Currently No On Campus Support)NoOn Campus Suppor

To get more information, please visit QC ITS Service Desk.

Data Systems

• ETL (Extract, Transform, Load)
• Relational databases
• SQL

Popular Data Analytics Tools

• Excel 
• SAS
• SPSS
• Stata
• Tableau
• ArcGIS
• R
• Python 
• NVivo 

• R (http://cran.r-project.org/)
• R Studio (http://www.rstudio.com/products/rstudio/download/)

And start up RStudio.

Comparison of data analysis packages.

Why use R when you have Tableau? Tableau vs. R?

"Tableau is easier for me to explore data, but as I become more frustrated with exporting Tableau charts that can be inserted into Word and PowerPoint without graph degradation, I need to switch to R."

                                       ------ Brian Zive, Consultant, Analytical Solutions at Marts & Lundy, Inc.

"I like Tableau for putting something simple together quickly. It is super easy to just drag and drop a few things and the end result is a production quality visualization. However, for addressing any amount of nuance or just for trying to do something a little more complex, I prefer R. I find it easier to discover code samples to do what I want to do. Also, once I have the code then I can reuse it for future projects which is a nice advantage."

                                      -------- Michael Pawlus, Data Scientist at University of Southern California

Image and quotes credit: Why use R when you have Tableau? Tableau vs. R?

You can request the books recommended on this page from other CUNY campuses. Please see how to request.