Introduction to Rice’s RAPID cluster for machine learning
Prerequisites:
None
Overview:
This course will cover Rice's interactive machine learning platform, RAPID, and will include:
Data @ Rice
Experience Builder - Develop Your Application by Connecting it with ArcGIS Online
Recommended prerequisites:
None
Overview:
In this workshop, participants will learn how to create and deploy web applications using Experience Builder and integrate them with ArcGIS Online. The session is tailored for beginners who want to explore the capabilities of Experience Builder and leverage ArcGIS Online's powerful mapping and spatial analytics features.
Topics include:
Introduction to Google Looker Studio: Basics and Integration with Cloud Storage and BigQuery
Recommended prerequisites:
None
Overview:
This workshop has been rescheduled from February 5 to March 4, 2025.
The World is at your Command….line
Learn basic skills for working with Linux based systems.
Introduction to Text Analysis with Voyant
Prerequisites:
None
Statistics and Data Visualization in R
This course focuses on performing basic descriptive and inferential statistics in R and on creating effective data visualizations in R using the ggplot2 package..
Cleaning and Wrangling Data in R
This course focuses on the basics of cleaning and wrangling data in R, using the popular "dplyr" package.
Data Analysis and Visualization with Pandas in Python
Prerequisites:
Recommended for those who have completed the Python for Absolute Beginners 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 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.
Introduction to the Center for Research Computing's Services and Resources
This workshop provides a schematic overview of remote computing systems and services at Rice.