This three-part series will cover the following materials:
Part 1: Introduction
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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.
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.
This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, and superlearner algorithms.
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.
The Black Recruitment and Retention Center is a student initiated, AND entirely a student ran organization that was founded in 1983 as direct response to the removal of Black students from affirmative action policies and programs, including admissions consideration, early academic outreach programs, and retention services.
The Berkeley Undergraduate Digital Humanities Association (BUDHA) is a diverse community of students, faculty, and staff on the UC Berkeley campus that connects undergraduates with the emerging interdisciplinary field of Digital Humanities (DH).
Part 1 Topics:
Knowledge requirements: Programming Fundamentals or equivalent prior knowledge
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.
This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, and superlearner algorithms.
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.
This three-part series will cover the following materials:
Part 1: Introduction
The goal of this working group is to understand issues around sensitive/restricted use research data from a variety of views - especially from the perspective of Berkeley researchers who need and use such data and the staff and units who support that.
Data Analysis for a Sustainable Energy Transition: A focus on Equity
Join us with D-Lab Fellow, Sergio Castellanos, as he shares about his research!
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.
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:
Prevention of mother-to-child transmission of HIV (PMTCT) programs are based on strengthening the PMTCT cascade, a series of integrated health care services and behaviors that begins with all pregnant women and ends with assessment of HIV status in HIV-exposed post-breastfeeding infants. PMTCT cascade programs and other programs targeting maternal and early child health in low- and middle-inco
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:
The Berkeley Undergraduate Digital Humanities Association (BUDHA) is a diverse community of students, faculty, and staff on the UC Berkeley campus that connects undergraduates with the emerging interdisciplinary field of Digital Humanities (DH).
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:
The Berkeley Digital Humanities Working Group began in 2011 as a place to facilitate interdisciplinary conversations around topics in the Digital Humanities (broadly defined). We welcome participants from all disciplinary backgrounds, beginners and experts in digital skills, students, faculty, and staff. The agenda for our biweekly meetings is participant driven, and we typically hold a varie