DiSC Education and Training
Remote Lessons in Spring 2020
As Vanderbilt transitions to online learning, all DiSC lessons and trainings will continue virtually via Zoom. Please see the course websites below for information.
DiSC remains available for virtual training and consultation in group or one-on-one settings upon request. Please contact firstname.lastname@example.org for additional information.
DiSC has prepared a list of digital resources and tutorials on our Github page: https://heardlibrary.github.io/digital-scholarship/ on the following topics:
- Understanding My Computer bootcamp (Windows and Mac) http://vanderbi.lt/computer
- GitHub Bootcamp http://vanderbi.lt/github
- Python lessons: beginner, intermediate web scraping, intermediate data analysis and viz http://vanderbi.lt/py
- R lessons http://vanderbi.lt/r
- Introduction to Linked Open Data (LOD) http://vanderbi.lt/lod
- Getting started on AWS http://vanderbi.lt/learnaws
The Vanderbilt Libraries also provides access to O’Reilly for Higher Education, a multimedia collection of instruction and reference materials focused on computer programming, web development, audio-video editing tools, and gaming and AR/VR.
These mini-courses that progressively work through the topic and help you study and learn the technologies with practice questions and answers. Python and R lessons will follow their existing schedules, but will also be made available for asynchronous viewing and self-paced learning.
Led by Dr. Steve Baskauf, Data Science and Data Curation Specialist, these sessions will help beginners get started with Python. Sessions held on Tuesdays, from 1:10 - 2:00 pm, beginning March 10. Full schedule here: https://heardlibrary.github.io/digital-scholarship/script/python/wg/
Intermediate Lessons on Data Analysis and Visualization in Python
Led by Dr. Sanjay Mishra of the Vanderbilt Vaccine Center and former Data Science instructor at the Nashville Software School, these lessons will focus on analyzing and visualizing large data sets with Python, using Pandas and Matplotlib. These sessions assume basic Python skills. Sessions held on Thursdays, from 1:10 - 2:00 pm starting March 19. Full schedule here: https://heardlibrary.github.io/digital-scholarship/script/python/wg/
R and R Studio
Led by Dr. Steve Baskauf, Data Science and Data Curation Specialist, these sessions will help beginners get started with the R Programming language and the R Studio environment. All sessions are held on Fridays, from 1:10 - 2:00 pm, starting March 13. Full schedule here: https://heardlibrary.github.io/digital-scholarship/script/r/lessons/
Geographic Information Systems (GIS)
Led by Dr. Stacy Curry-Johnson, Librarian for Geospatial Data and Systems, these lessons will focus on how learning ESRI’s ArcGIS software, the industry standard software. Sessions meet Wednesdays, beginning January 15, from 1:10 - 2:00 pm. Full schedule here: https://heardlibrary.github.io/digital-scholarship/geo/lessons/