Participants in this workshop will learn about some of the issues surrounding the collection of health statistics, and will also learn about authoritative sources of health statistics and data. We will look at tools that let you create custom tables of vital statistics (birth, death, etc.), disease statistics, health behavior statistics, and more. The focus will be on U.S.
Sign up for our weekly newsletter!
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.
Part 2: Working With Projections & Spatial Queries
Kick off the Fall semester at the Digital Humanities Mixer! This will be an informal opportunity to network with other faculty, staff, and students interested in digital humanities. All are welcome.
This training will help you navigate the copyright, fair use, and usage rights of including third-party content in your digital project.
The Somali, Ethiopian, Eritrean, South Sudanese, Sudanese Student Association (SEE§A) (formerly as Horn of Africa Student Association) is a student-based organization that focuses on the further academic, professional, social, and cultural advancement of Somali, Ethiopian, Eritrean, South Sudan and Sudanese identifying students on the University of California, Berkeley campus.
LaTeX is a widely used document creation software which can help you improve the presentation of homework, papers, academic articles and even presentations.
Students will learn about the different ways in which entities in the real world are represented as geographic data. They will be introduced to QGIS, an open-source Geographic Information System (GIS) tool for working with geographic data.
This workshop will be open to anyone interested in having the guidance, feedback and structure for writing a grant. Potential participants could be faculty who have not written an NIH grant before, postdocs or adjunct faculty, advanced graduate students, or even early stage graduate students who want to put together a dissertation grant.
This workshop will provide a comprehensive overview of graphics in R, including base graphics and ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data.
Qualtrics is a powerful online tool available to Berkeley community members that can be used for a range of data collection activities including surveys, data entry, training, quality control, market research, event feedback. Following the general overview, this class will focus on questionnaire design using Qualtrics. This class will cover some best practices for designing questionnaires and
How do you go about publishing a digital book, a multimedia project, a digital exhibit, or another kind of digital project? In this workshop, we'll take a look at use cases for common open-source web platforms WordPress, Drupal, Omeka, and Scalar, and we'll talk about hosting, storage, and asset management. There will be time for hands-on work in the platform most suited to your needs.
Crowdsourcing is a method increasingly used in qualitative, quantitative, and mixed-methods research. However, many researchers remain unclear about what this method is, when it may be appropriate to use, and how it could be implemented.
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.
R Fundamentals Part 4: Putting it all together
In the final part, we will review data importation, subsetting, and visualization. Students will then be given the majority of time to reproduce a workflow on two different datasets, ask questions, and review the solutions as a group.
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 3 Topics:
R Fundamentals Part 3: Data Exploration and Analysis
Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots. You will also be introduced to coding statistical data analysis via t-tests, analyses of variance, correlation, and linear regression.
This three-part series will cover the following materials:
Part 1: Introduction