Events

This interactive workshop series is your complete introduction to programming in R for people with little or no previous programming experience. It covers the basics of using RStudio, creating variables, working with data frames, and starting to analyse your data using summary statistics and data visualization. After completing this workshop series you will be able to: Navigate R Studio Open data in R and work with it in data frames using tidyverse Distinguish between different variable types Visualize data using ggplot Inspect documentation to deal with error messages R Fundamentals has 4 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walk through interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. The workshop series is structured as follows: Part 1: Introduction to R and RStudio Part 2: Data frames and variable types Part 3: Manipulating data frames Part 4: Data visualizations and custom functions

Calling all digital humanities enthusiasts! If you are interested in presenting for this session please complete this google form. We encourage everyone to participate, regardless of your experience level. The DH Working Group is a welcoming and supportive community for all things digital humanities. About the Digital Humanities Working Group The UC Berkeley Digital Humanities Working Group is a research community founded to facilitate interdisciplinary conversations in the digital humanities and cultural analytics. Our gatherings are participant driven and provide a place for sharing research ideas (including brainstorming new ideas and receiving feedback from others), learning about the intersection of computational methods and humanistic inquiry, and connecting with others working in this space at Berkeley. We welcome grad students, faculty, and staff from all disciplinary backgrounds regardless of whether you are a beginner or an expert in empirical and data-driven methods. Working group meetings may include participants sharing work on current or future research, open discussions about theoretical, methodological or other challenges (e.g., data collection), invited speakers, and social mixers. Research at any stage of development (including nascent) is welcome for discussion. The Digital Humanities Working Group is led by Tim Tangherlini (Department of Scandinavian) and David Bamman (School of Information), and sponsored by D-Lab: Claudia von Vacano, Aaron Culich, Finley Golightly, and the UTech staff.

Calling all digital humanities enthusiasts! End-of-the-year celebration! Lightning talk for our fifth DHWG meeting: “Tracking Microchanges: On the Evolution of the Novelistic Scene” - Nicholas Paige, Professor of French, presents an analytical examination of "scenes" in the novel from the early 1800s. If you are interested in presenting for this session, please complete this google form. We encourage everyone to participate, regardless of your experience level. The DH Working Group is a welcoming and supportive community for all things digital humanities. About the Digital Humanities Working Group The UC Berkeley Digital Humanities Working Group is a research community founded to facilitate interdisciplinary conversations in the digital humanities and cultural analytics. Our gatherings are participant-driven and provide a place for sharing research ideas (including brainstorming new ideas and receiving feedback from others), learning about the intersection of computational methods and humanistic inquiry, and connecting with others working in this space at Berkeley. We welcome grad students, faculty, and staff from all disciplinary backgrounds regardless of whether you are a beginner or an expert in empirical and data-driven methods. Working group meetings may include participants sharing work on current or future research, open discussions about theoretical, methodological or other challenges (e.g., data collection), invited speakers, and social mixers. Research at any stage of development (including nascent) is welcome for discussion. The Digital Humanities Working Group is led by Tim Tangherlini (Department of Scandinavian) and David Bamman (School of Information), and sponsored by D-Lab: Claudia von Vacano, Aaron Culich, Finley Golightly, and the UTech staff

This three-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 complete Python Fundamentals series has 6 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walkthrough interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. Parts 1-3 are intended for the complete beginner in Python. We will go over the basics of Python in Jupyter, variables and data types, and a gentle introduction to data analysis in Pandas: Part 1: Introduction to Jupyter and Python, Variables Part 2: Data Types and Structures Part 3: Introduction to Pandas After completing parts 1-3, you will be able to do basic operations in Python. You will know how to navigate Jupyter Notebooks, how to work with common data types and structures, methods, and basic operations in Pandas. You will have the minimum requirements to continue to other D-Lab workshops such as Python Data Wrangling or Python Data Visualization.