Intermediate Data Transformation in R (online)
This course focuses on transforming data using dplyr, a popular package in R.
Data @ Rice
Introduction to 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. It also introduces importing, viewing, and and indexing data.
Software Carpentry Workshop
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Develop your Python, Git, and Unix skills in a free workshop taught by experienced instructors f
Interactive Data Visualization with Plotly
Learn to quickly present your data in an interactive visualization, using this popular framework.
Excel Pivot Tables (Canvas)
Prerequisites
None
Overview
Excel Pivot Tables help you to quickly summarize, report and find patterns in your datasets. This short course will cover how to setup a pivot table from scratch and special techniques to make the most of this feature. The use of Excel Pivot Tables will help you to organize, visualize, and gain insights from your data.
Introduction to SQL
This hands-on workshop explores the basics of SQL, the most popular database querying language.
VRDE System for Secure Data
Prerequisites:
None
Overview:
Learn about Rice's VRDE system for working with secure data.
Contact information:
Please contact cb88@rice.edu if you have questions about the Data@Rice workshop series.
Remote Access to Computing Resources
This workshop provides a schematic overview of remote computing systems and services at Rice.
Introduction to GitHub
- GitHub is an incredibly powerful tool for version control management - a must-know skill for developers, researchers, and anyone who uses a command line often in their work.
Containerized Data Visualization with Docker and Plotly
Prerequisites:
R, Python3, Plotly Dash packages, a GitHub account, and a Heroku account. Participants will be sent installation instructions prior to the class!