Data and Donuts

Introduction to R

This course will cover the foundational elements of coding in R including understanding the interface and syntax of R as well as basic techniques for storing and manipulating data sets in R. It will run through the different data types utilized in R as well as basic commands and functions that can be used for data analysis.

Please contact dataworkshop@rice.edu if you need to cancel your registration or have any questions.

The Absolute Basics of Jupyter Notebooks

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 basics of installing Jupyter and creating your first notebook.

Python for Beginners

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.

Please contact dataworkshop@rice.edu if you need to cancel your registration or have any questions.

Using Excel to Manage and Analyze Data

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.

Please contact Monica Rivero if you have any questions.

 

Introduction to Supercomputing

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.