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Python & Data 2: Manipulating & Transforming Data (ONLINE)

Python & Data 2: Manipulating & Transforming Data (ONLINE) Online


Online Workshops are Live/Synchronous:

  • Click here to join this workshop in Webex: https://gsumeetings.webex.com/meet/jwalker184
    • Steps for joining a Webex meeting: https://www.youtube.com/watch?v=fE5FnEUKtaE
    • You may be required to download the Webex app to attend the workshop, so please give yourself ample time to do so before the workshop begins.
    • Set these as your options when joining the Webex meeting: (1) Set your video option to No Video, and (2) Mute yourself.
  • There is NO REGISTRATION and there is no maximum attendance -- the more the merrier!

Recorded Workshops:

We also will offer recorded versions of the workshops to enable those not able to attend the live version to instead watch the recorded version at their convenience. As the recordings become available, we will post them here:

https://research.library.gsu.edu/dataservices/rds-workshops-recordings

At the end of the recorded workshop, we will provide the check-in form link for attendance purposes. 


The Python & Data workshop series will introduce users to the fundamentals of using the Python programming language and associated tools for the purposes of performing common data analysis tasks. Python is an extremely popular programming language used by analysts, researchers, and scientists in many different disciplines.

This series consists of three workshops. For individuals who are new to Python, coding, or data analysis, it is highly recommended that the workshops be attended in sequential order. Additionally, while these workshops are taught exclusively using code (i.e. there are no point-and-click methods), attendees do not need to have any prior experience with programming, coding, or scripting. All are welcome.

Workshop Topics:

  • Selecting, sub-setting, and manipulating data
  • Transforming and generating variables
  • Handling data with missing values
  • Generating crosstabs / contingency tables

Prerequisites: None.

Software Requirements:

  • For users wishing to follow along with the “hands-on” portion of the workshop, you will need to download and install Anaconda using Python 3.7.
  • For all other users, everyone is welcome to watch the workshop presentation and participate in the chat without installing any software.

NOTE: Please read our Workshops ~ Etiquette & Policies page for pertinent information to your workshop attendance.

Presenter: Jeremy Walker, Data Services Librarian and member of the Library's Research Data Services Team

 

Want to get RDS@GSU Data Certified?

Learn more here!

Related LibGuide: Research Data Services @ Georgia State University Library by Mandy Swygart-Hobaugh

Date:
Tuesday, October 13, 2020
Time:
10:00am - 12:00pm
Time Zone:
Eastern Time - US & Canada (change)
Categories:
  Workshops  
Online:
This is an online event. Event URL: https://gsumeetings.webex.com/meet/jwalker184

Event Organizer

Profile photo of Jeremy Walker
Jeremy Walker