Data and Donuts Registration

Data and Donuts - Workshop Series

This free workshop series sponsored by Fondren Library and the Center for Research Computing will provide hands-on training in the basics of organizing, documenting, analyzing, and visualizing your data. Come learn and enjoy free donuts!

(Registration is limited to current Rice students, faculty, and staff or Friends of Fondren at the patron level and above. Please see Fondren Library's Short Course Registration Policy.)

Using Excel to Manage and Analyze Data [FULL--- CLOSED]

Monica Rivero (Fondren Library)
Friday, September 14, 10-11:30 a.m. [FULL--- CLOSED] OR
Friday, October 19, 10-11:30 a.m. [FULL--- CLOSED]

Fondren Collaboration Space

Do you have data that you need to organize or analyze? This short course will cover techniques for organizing, importing, manipulating and summarizing your data using advanced Excel features such as data lists, pivot tables and functions. It will also provide tips for using Excel productively. Use of these Excel features will help you to organize, visualize and gain insights from your data.

Introduction to IBM SPSS Statistics

Miaomiao Rimmer (Fondren Library)
Wednesday, September 19, 1:00 pm-2:30 pm [FULL--- CLOSED] OR
Thursday, September 20, 10-11:30 a.m. [FULL--- CLOSED]
Fondren Collaboration Space

SPSS is a widely used program for statistical analysis in social science. SPSS allows you to perform highly complex data analysis with simple instructions. In this workshop we will take a step-by-step approach to the software through hands-on activities. No previous knowledge of SPSS is needed.

Python for Beginners

Miaomiao Rimmer (Fondren Library)
Wednesday, October 10, 10 -11:30 a.m. OR
Thursday, October 11, 10-11:30 a.m. [FULL--- CLOSED]
Fondren Collaboration Space

This is a hands-on workshop that introduces you to Python, one of the most popular programming languages. It covers the basic concepts, conditional statements and loops, functions, etc. Students will begin coding by solving sample problems. A line-by-line explanation will be offered for some real life Python problems as well.

Introduction to Supercomputing [FULL--- CLOSED]

John Mulligan and Clinton Heider (Center for Research Computing)
Thursday, October 18, 10-11 a.m.
Fondren Collaboration Space

This brief workshop will introduce you to the basic concepts of supercomputing and walk you through a humanities use-case based on JSTOR data. You will learn the difference between HPC and HTC, how to log into Rice’s supercomputing clusters, how to schedule a job, how to monitor resource usage, and the basics of concepts like message passing and load-balancing.

The Absolute Basics of Jupyter Notebooks [FULL--- CLOSED]

Scott Carlson (Fondren Library)
Thursday, November 1, 10-11 a.m.
Fondren Collaboration Space

Every day, thousands (if not more) of programmers, statisticians, data scientists, information professionals, and journalists use Jupyter, an open-source web app that interactively presents live code augmented with visualizations and narrative text. Known as Notebooks, these interactive scripts are perfect for working with (or teaching) coding, as well as telling an unusual story aided by visuals. In this short course, we introduce the Juypter Lab setting and present the rock-bottom basics of firing up your first Notebook.

Intro to Effective Data Visualization

Anneli Joplin (Center for Academic and Professional Communication)
Thursday, November 8, 10 a.m.-11:30 a.m.
Fondren Collaboration Space

In this workshop we will review current research in visual perception and cognition and relate these concepts to best practices for data visualization. Participants will also have the opportunity to evaluate sample visualizations and apply what they learned during a hands-on visualization exercise.

Virtual Machines and Research Data Storage at Rice

John Mulligan and Clinton Heider (Center for Research Computing)
Thursday, November 29, 10-11 a.m.
Fondren Collaboration Space

Learn how to use two new components of Rice’s Research Computing infrastructure:

1) The networked storage provided by the new Isilon (researchers receive 500GB for free and can scale from there) and other Research Data Facility resources, and

2) The Virtual Machine farm, ORION, recently up and running on the Rice network.

These two tools allow researchers to affordably spin up computing resources as needed for classes or projects, and they can be used in tandem to powerful effect. We will show researchers how to register and walk them through use cases.

Related Courses

These courses are not part of the Data and Donuts series but are relevant for those interested in working with data.

DMC Short Courses

Includes courses on Tableau.

https://library.rice.edu/requests/dmc-short-course-registration

GIS Data Center Short Courses

Includes courses on topics such as working with census data and mapping tabular data.

http://library.rice.edu/short-course-descriptions/2