Introduction to Rice's Research Computing Resources
This workshop provides a schematic overview of remote computing systems and services at Rice.
Data @ Rice
Visualizing Data with ggplot2 in R (online)
This course focuses on creating effective data visualizations in R using the ggplot2 package.
Basic Statistics in R (online)
This course focuses on performing basic descriptive and inferential statistics in R.
Python for Absolute Beginners - Part 1
Prerequisites:
None
Overview:
This is the first session in a two-part workshop for participants with no prior Python experience. This hands-on workshop introduces the basics of Python, one of the most popular programming languages. Topics include the print function, variables and values, common data types, and conditional statements.
If you have experience with Python, please consider our other Python offerings.
Getting Ready for the New NIH Data Management & Sharing Policy
This virtual session will highlight key elements of the new NIH Data Management and Sharing (DMS) policy and provide an overview of resources to help you develop a DMS plan.
Intermediate Data Transformation in R (online)
This course focuses on transforming data using dplyr, a popular package in R.
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 fro
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.