Programming Languages

R Geospatial Fundamentals: Vector Data, Parts 1-2

March 7, 2022, 10:00am
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. This workshop focuses on fundamental operations for reading, writing, manipulating and mapping vector data, which encodes location as points, lines and polygons.

Python Web Scraping & APIs

November 2, 2022, 3:00pm
In this workshop, we cover how to extract data from the web using Python. We focus on two approaches to extracting data from the web: leveraging application programming interfaces (APIs) and web scraping.

R Fundamentals: Parts 1-4

September 11, 2023, 10:00am
This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research.

Introduction to Bash + Git

March 15, 2022, 9:00am
This workshop will start by introducing you to navigating your computer’s file system and basic Bash commands to remove the fear of working with the command line and to give you the confidence to use it to increase your productivity. And then working with Git, a powerful tool for keeping track of changes you make to the files in a project.

CANCELED: R Geospatial Fundamentals: Raster Data

November 29, 2022, 1:00pm
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. This workshop focuses on fundamental operations for reading, writing, manipulating and mapping raster data, which typically represents geographic information in a grid of regular sized cells.

R Fundamentals: Parts 1-4

October 24, 2023, 9:00am
This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research.

Python Fundamentals: Parts 1-4

May 2, 2022, 9:00am
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Git for Research Transparency and Reproducibility Training (RT2)

June 6, 2024, 3:15pm
This is a custom Git workshop for the 2024 Research Transparency and Reproducibility Training (RT2).

Stata for Research Transparency and Reproducibility Training (RT2)

June 7, 2024, 3:15pm
This is a custom Stata workshop for the 2024 Research Transparency and Reproducibility Training (RT2).

Processing Videos in Python with OpenCV

November 28, 2023
Leah Lee
by Leah Lee. Videos and images are quickly becoming the most common type of data we store and interact with. Computer vision technologies derive useful information from these forms of data and are now commonly used in health care, agriculture, transportation, and security. OpenCV is a powerful tool for image processing and computer vision tasks. In this blog post, we will explore how we can use OpenCV in Python to carry out basic computer vision tasks. Specifically, we’ll focus on the simple task of identifying an object from a video and labeling a frame with a box around the object.