DataFest Workshops

• Register for a DataFest workshop

• Registrants will receive a reminder email containing the workshop Zoom link/password approximately one hour prior to a workshop session
   
• Please ensure you have the latest version of Zoom installed
   
• Prior to the Zoom session, follow the workshop "setup" instructions you will receive via email from the workshop instructors 
   
• We recommend planning to arrange your screen(s) in a manner similar to this example (so that the instructor's Zoom screenshare is in one corner, the Zoom chat window is in another, and you have approximately half of your screen left to work in the applicable software)
  
  

2022 DATAFEST: R Shiny, 2022-03-03

• Code of Conduct: https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html
• Setup: https://datacarpentry.org/r-socialsci/setup.html
• Slides (PDF)
• Collaborative notes document
• Recording

2022 DATAFEST: Using the Tidyverse (ggplot and dplyr), 2022-03-02

• Code of Conduct: https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html
• Curriculum: https://datacarpentry.org/r-socialsci/
• Setup: https://datacarpentry.org/r-socialsci/setup.html
• Collaborative notes document 
• Recording

2022 DATAFEST: Introduction to R, 2022-03-01

• Code of Conduct: https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html
• Curriculum: https://datacarpentry.org/r-socialsci/
• Setup: https://datacarpentry.org/r-socialsci/setup.html
• Collaborative notes document
• Recording

2021 DATAFEST: GIS, 2021-03-15

• Welcome Slides
• Code of Conduct: https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html
• Curriculum: https://datacarpentry.org/r-raster-vector-geospatial/
• Setup: https://datacarpentry.org/geospatial-workshop/setup.html
• Collaborative notes document: https://pad.carpentries.org/notre-dame-hesburgh-libraries-2021-03-15
• Recording 

2021 DATAFEST: Data Wrangling with Tidyverse, 2021-03-10

• Welcome Slides
• Code of Conduct: https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html
• Curriculum: https://datacarpentry.org/r-socialsci/
• Collaborative notes document: https://pad.carpentries.org/notre-dame-hesburgh-libraries-2021-03-10
• Recording

2021 DATAFEST: Intro to R, 2021-03-08

• Welcome Slides
• Code of Conduct: https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html
• Curriculum: https://datacarpentry.org/r-socialsci/
• Collaborative notes document: https://pad.carpentries.org/notre-dame-hesburgh-libraries-2021-03-08
• Recording

• Notre Dame Carpentries Workshop Resources
  links to session recordings and curriculum pages covering a variety of topics (R, python)
   
• Python for Social Scientists Curriculum—Data Carpentries 
  work through this python tutorial at your own pace
   
• Udemy
  all Notre Dame students have free Udemy access using the single sign-on link above (a variety of learning tools are available for data science tools/methods) 
   
• Introduction to Text Analysis with Python and the Natural Language Toolkit (NLTK)
  workshop materials on text analysis with python and the NLTK, including discussion of cleaning data, creating text corpora, and analyzing texts programmatically