Data @ Rice
Learn to quickly present your data in an interactive visualization, using this popular framework.
In this workshop, you will learn how to build a basic data visualization app using Python.
Please note this class can be taken at any time/date. We are not hosting this class in person.
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 Tabes will help you to organize, visualize and gain insights from your data.
Note: Class offered via Canvas. Please self-enroll here: https://canvas.rice.edu/enroll/4XX9PW
Come join us for a hands-on workshop where we will explore the basics of SQL, the most popular database querying language. We will cover the some of the most widely used functions and techniques, and also cover basic data hygiene in SQL. Please note that this is a workshop for beginners.
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.
In this workshop, you will learn how to use Docker to build a basic, interactive app in Plotly and R.
You will learn how to
Launch a Docker environment
Run an app in that environment
Did you know that Rice owns its own server farm and data storage system to help researchers with their computational workloads?
In this workshop, we will show you how to access and use:
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:
Drowning in data? Not sure how to organize and back it up? This hands-on, interactive workshop will share tips for effectively organizing, documenting and storing research data. Participants will walk away with ideas for completing a data management plan, naming and organizing files, and safely storing data.
Basic familiarity with R or completion of Fondren's Introduction to R.
In this short course, we will go over some strategies for importing, reshaping, accessing and visualizing data! Take this course if you are interested in improving your statistical analysis skills in R. Beginners should take Introduction to R before taking this course.