Data @ Rice

Introduction to R Workshop

Come join us for a hands-on workshop where we will explore the basics of R, one of the most popular programming languages for data analytics and data science in academia and beyond. Please note that this is a workshop for beginners. If you already have a background in R, please look out for future workshops where we will cover more advanced techniques and explore various R libraries in more detail.

Register here.

Introduction to Python Workshop

Come join us for a hands-on workshop where we will explore the basics of Python, one of the most popular programming languages for data analytics and data science. We will cover basic data structures like lists and dictionaries, techniques like loops and conditional arguments, and basic visualization techniques. We will work with real world open data sets, so come ready to learn and explore. Please note that this is a workshop for beginners.

Data Carpentry Workshop on Data Skills for Social Scientists

Develop skills in organizing, cleaning, analyzing, and visualizing data in this free, hands-on workshop from Data Carpentry. Aimed at social scientists, this workshop will combine short tutorials and hands-on practical exercises. 
 

Who: This free course is aimed at graduate students and other researchers. You don't need to have any previous knowledge.

Remote Access to Computing Resources

All the primary computing systems & services offered by the Center for Research Computing (CRC) are available to researchers who are working from off campus.

In fact, "remote" access workflows are often the same as best practices for using our resources.

Get a schematic overview, along with some practical examples of how to use the following in concert with one another to multiply your computing power:

Containerized Data Visualization with Docker and Plotly

Learn how to create lightweight, interactive data visualization apps for medium-sized datasets. This will be useful for introducing students and researchers to basic exploratory data analysis. We will begin with a basic introduction to data frames in Python and R using a basic dataset; then we will see how to render that data as an interactive dashboard in Python and R; finally, we will deploy see what deploying your app to a free public web server in Heroku looks like!