Upcoming Events

This two-part workshop provides an introduction to machine learning algorithms using the tidymodels package. It covers what machine learning is, which problems it is most and least equipped to address, and explores the tidymodels framework to fit supervised machine learning models in R. Addressing machine learning problems requires a deep conceptual understanding of the material. While the workshop will cover coding in R, it will also dedicate a significant portion of the time to motivating machine learning techniques. By the end of the workshop, learners should feel prepared to explore machine learning approaches for their own data problems. This workshop does not cover unsupervised machine learning techniques. Register for this Tidymodels workshop!

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. Register for this R workshop!

Anyone pursuing a faculty career should understand the conventions of the academic job market. Panelists will share their experiences and what trainees should know to better navigate the hiring process. Your questions are welcome! Registration for this Zoom panel is required!

Are you starting a research project at UC Berkeley that involves human subjects? If so, one of the first steps you will need to take is getting IRB approval. Numerous questions can come to mind when first negotiating getting a project approved. When should you apply? Does your project require review, and if so, what kind? This course will walk you through the process of getting IRB approval for your project. After this course, you will approach getting your project approved with confidence that will save you time and avoid potential delays. Interested in getting a project approved? Register to learn more!

Your research is important and we are here to help keep it safe and secure. This brown bag session will focus on secure campus tools and services that Research IT and Berkeley IT offer to researchers, tips on navigating campus security processes, and cybersecurity best practices for keeping your research and research subjects safe. You will hear from Allison Henry, Chief Information Security Officer, as well as from security specialists from Research IT and the Information Security Office. This event is in partnership with the Industry Alliances Office, Vice Chancellor for Research Office and Research Administration and Compliance. Register to learn more!

In this workshop, we cover how to extract data from the web with APIs using Python. APIs are often official services offered by companies and other entities, which allow you to directly query their servers in order to retrieve their data. Platforms like The New York Times, Twitter and Reddit offer APIs to retrieve data. When APIs are not available, one can turn to web scraping. If you want to learn how to do web scraping in Python, attend the D-Lab Python Web Scraping(link is external) Workshop. To learn more about Python Web APIs Register for this Workshop!

In this workshop, we cover how to scrape data from the web using Python. Web scraping involves downloading a webpage's source code and sifting through the material to extract desired data. Web scraping is typically only done when Web APIs are not available. Platforms like Twitter, Reddit, or The New York Times offer APIs to retrieve data. If you want to learn how to use web APIs in Python, see D-Lab's Python Web APIs(link is external) workshop. To learn more about Python Web Scraping register for this event!

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 feedback, and other uses with some creativity. This overview will introduce a simple workflow using the system with an orientation to the main interfaces for web survey design, sample management, corresponding with sample members, and exporting data at the end of the field period.  Examples from completed surveys in public health, economics, program evaluation, and other disciplines will be incorporated in the overview. With no prerequisites needed register for this workshop on Qualtrics Fundamentals!

After clicking the registration link for your desired workshop, be sure to use your @berkeley.edu or @lbl.gov email address in the Zoom registration box to ensure a seamless process. Additionally, when joining the workshop, participants need to be logged in with their institutional email address in Zoom to be granted admission. You may need to log out and log back in. Register for this R Data Visualization workshop!

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. You will learn how to make histograms, boxplots, scatterplots, lineplots, and heatmaps as well as how to make compound figures. Registration is required!