Basics of R and RStudio
This workshop explores the basics of R, one of the most popular programming languages for data analytics and data science in academia and beyond.
Data @ Rice
Data Analysis and Visualization with Pandas in Python
Prerequisites:
Recommended for those who have completed the 2-part Python Fundamentals series or who have basic Python skills.
Overview:
This course covers basic analysis and visualization of data frames using the pandas library in Python. Topics include subsetting a data frame, calculating summary statistics, and creating bar and scatter plots.
Contact information:
Please email mrsmith@rice.edu if you have questions about the Data@Rice workshop series.
Python for Absolute Beginners - Part 2
Prerequisites:
Python for Absolute Beginners - Part 1
Overview:
This is a continuation of our two-part Python for Absolute Beginners series. This hands-on workshop introduces additional features of Python. Topics include uses of lists and dictionaries, Boolean values, for and while loops, and an introduction to libraries.
If you have experience with Python, please consider our other Python offerings.
Docker Part 2: Containerizing a Data Viz App
We will use a containerized Python app to show the advantages of containerization for building, iterating, and deploying an interactive application.
Docker Part 1: Introduction to Docker
Prerequisites:
While our example code will be written in Python, this class focuses on containerized deployment of lightweight, interactive apps.
Overview:
Introduction to Rice's Research Computing Resources
This workshop provides a schematic overview of remote computing systems and services at 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.