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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.
Geospatial data are an important component of social science and humanities data visualization and analysis. The R programming language is a great platform for exploring these data and integrating them into your research.
Geospatial Data in R, part I: Getting started with spatial data objects
This workshop introduces Artificial Neural Networks (ANNs), a group of popular machine learning algorithms. No prior knowledge is required, though previous experience with other machine learning algorithms would be helpful. The workshop will be divided into three parts:
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.
Join Zawadi Rucks-Ahidiana, previously the Qualitative Research Lead at D-Lab and currently a PhD Candidate in the Sociology Department, to learn about her engagement in multi-method analysis with newspaper articles as qualitative data sources. Zawadi will discuss her work, specifically her dissertation research, before engaging in an extensive Q&A with attendees.
Join Prof. Armando Lara-Millan, from UC Berkeley's Sociology Department, and Dr. Brian Sargent, from University of Washington's Department of Sociology, to learn about their engagement in research as ethnographers and historical sociologists. Prof. Lara-Millan and Dr.
This three-part series will cover the following materials:
Part 1: Introduction
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. If possible, please bring a laptop with Photoshop installed.
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.
Part 3 Topics:
This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.
Topics Covered Will Include:
This workshop will cover how to extract data from the web using Python. We'll be covering both APIs and webscraping.
Topics Covered:
How the web works
HTML / CSS
Webscraping with Beautiful Soup
Omeka is ideal for creating and displaying an online collection or exhibit composed of many digital items. If you have a bunch of digital images, scans, and files around a certain theme or project, and you would like to organize, describe, and showcase these files, Omeka may be a good fit for you.
This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.
Topics Covered Will Include:
This three-part series will cover the following materials:
Part 1: Introduction
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.
Part 2 Topics:
THIS IS A TEST. This is not a real training.
This workshop focuses on how to organize and code qualitative data in MAXQDA. The training will outline key decisions researchers must make in the coding process, as well as review how to start a new project and engage in basic tasks.
This workshop will cover theory and techniques for maximizing the effectiveness of figures used for visualizing information. Rather than teaching any particular visualization software, this course will teach students about the "nuts and bolts" of effective data visualization.
In Visualization in Excel, we will cover the fundamentals of visualization in Excel, including a checklist of considerations that should go into every visualization. We will also go through step by step instructions on how to make horizontal bar charts, slope graphs, butterfly charts, the good kind of pie charts, icon arrays, and how to graph confidence intervals.
MAX QDA GSE
Add data visualization to your communication toolbox without learning to code. Tableau cuts down the time you need to spend creating visualizations through an intuitive graphical user interface. Learn the basics in this hands-on, two-part workshop.
Knowledge Requirements: No prerequisites
