Cleaning Data in R
This course focuses on the basics of cleaning data in R.
Data @ Rice
Basics of R and Data in R
This workshop explores the basics of R, one of the most popular programming languages for data analytics and data science in academia and beyond.
Test workshop
This is a dummy course for testing.
Introduction to Code Management with VS Code and GitHub
This workshop has been rescheduled from November 6 to November 5.
Prerequisites:
None
Overview:
This workshop provides a beginner-friendly introduction to modern version control and code management. Participants will learn the fundamentals of Git and how to leverage the powerful integration between Visual Studio Code and GitHub.
Contact information:
Using HPC Interactively from your Browser with Open OnDemand
Prerequisites:
None
Overview:
We demonstrate a new user-friendly method of performing interactive tasks on the NOTS cluster via your web browser instead of SSH. We will show how easy it is to setup and use graphical applications such as Jupyter Notebook, RStudio, MATLAB, etc. on the HPC cluster.
Contact information:
Please contact researchdata@rice.edu if you have questions about the Data@Rice workshop series.
ChimeraX Workshop: Visualizing Proteins for Research
Prerequisites:
None.
Overview:
Learn the basics of using the molecular visualization tool ChimeraX to explore protein structures and create high-quality figures for posters and papers.
Participants will learn to:
Putting it all Together: Example Workflows using Rice's Research Computing and Data Services
Prerequisites:
None, though knowledge of the Center for Research Computing's services or previous Research Computing workshops would be helpful.
Overview:
Photogrammetry: Extract 3D data from Overlapping Images
Recommended prerequisites:
None
Overview:
This workshop has been rescheduled from Tues., Feb. 4 to Tues., Mar. 11.
In this workshop, participants will learn the fundamentals of photogrammetry, its applications, and how to process images using Agisoft Metashape. Designed for beginners, this session will introduce essential concepts and provide hands-on experience with creating 3D models and geospatial data from photographs.
Topics include:
Wrangling Data in R with dplyr - Part 2
This course focuses on wrangling data using dplyr, a popular package in R.
Cleaning Data in R - Part 3
This course dives deeper into the process of cleaning data in R.