It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This workshop will introduce tools (notably dplyr and tidyr) that makes data wrangling and manipulation much easier.
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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.
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 workshop.
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.
This workshop can serve as an introduction for participants who are new to qualitative research, as well as a refresher for those who have limited training.
An introduction to programming basics in Bash and GitHub that are often assumed, but that you might have never had good instruction on!
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.
This three-part series will cover the following materials:
Overview
An introduction to programming basics in Bash and GitHub that are often assumed, but that you might have never had good instruction on!
Join by Zoom: https://dlab.berkeley.edu/fellows-talks
Overview
Join us in our continuing series to hear about the incredible work of our D-Lab Data Science Fellows!
Alexander Sahn will present on:
Qualtrics is a powerful online tool available to Berkeley community members that can be used for a range of data collection activities. Primarily, Qualtrics is designed to make web surveys easy to write, test, and implement, but the software can be used for data entry, training, quality control, evaluation, market research, pre/post-event
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.
Overview
This three-part series will cover the following materials:
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!
This workshop can serve as an introduction for participants who are new to qualitative research, as well as a refresher for those who have limited training.
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.
Co-sponsored by the UC Berkeley Statistics Department and the D-Lab. This will be a virtual version of the usual two-day in-person workshop we hold in August every year.