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This is an archive of our past training offerings. We are looking to include workshops on topics not yet covered here. Is there something not currently on the list? Send us a proposal.
Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It enables doing practical, real world data analysis in Python.
In this workshop, we'll work with example data and go through the various steps you might need to prepare data for analysis.
Overview
Overview
Overview
This workshop is one of a three-part series that will prepare participants to move forward with text analysis research, with a special focus on humanities and social science applications.
Part 1: Basic Tools and Techniques
Part 2: Unsupervised Approaches
Overview
This workshop will introduce students to the basics of designing a survey instrument using the Qualtrics platform, such as randomization and survey flow. We will also cover more advanced topics like implementing embedded data and using javascript, as well as tips and tricks on how to use your design to maximize the number of quality responses you get.
Overview
Overview
An introduction to programming basics in Bash and GitHub that are often assumed, but that you might have never had good instruction on!
Qualitative Data Analysis (QDA) software is used to organize and structure data, codes, memos, and other components of a qualitative study, as well as support engagement in analysis. This workshop is for qualitative researchers, new and established, interested in learning about MAXQDA, a software for which D-Lab provides substantive support.
Overview
This workshop will introduce methods for working with geospatial data in QGIS, a popular open-source desktop GIS program that runs on both PCs and Macs as well as linux computers. Participants will learn how to load, query and visualize point, line and polygon data. We will also introduce basic methods for processing spatial data, which are the building blocks of spatial analysis workflows.
In this hands-on workshop, we will learn how to create web graphics for your digital publishing projects and websites. We will cover topics such as: image editing tools in Photoshop; image resolution for the web; sources for free public domain and Creative Commons images; and image upload to publishing tools such as WordPress. Please install Photoshop in advance of this workshop.
Since 1790, the US Census has been THE source of data about American people, providing valuable insights to social scientists and humanists. Mapping these data by census geographies adds more value by allowing researchers to explore spatial trends and outliers. This workshop will introduce three key packages for streamlining census data workflows in R: tigris, tidycensus and tmap.
Overview
This three-part series will cover the following materials:
Part 1: Introduction
Overview
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.
Overview
Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills for free at our R workshops!
Computational Text Analysis Working Group (CTAWG)
Title: AI and Archives: finding the optimal path from analog to digital
Presenter: Adam Anderson, Mellon Postdoctoral Fellow in the Digital Humanities, UC Berkeley
Overview
For this workshop, we'll provide an introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter (formerly IPython) notebook. The following plot types will be covered:
line
bar
Overview
Overview
This workshop will provide an introduction to graphics in R with ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data. We will also explore the basic grammar of graphics, including the aesthetics and geometry layers, adding statistics, transforming scales, and coloring or panelling by groups.
