Past Workshops
US Census Bureau Restricted-Access Research Data Center (FSRDC) Info Session
April 24, 2024
Interested in restricted Census or partnering RDC agency (AHRQ, BLS, BEA, NCHS) data use? This one-hour introductory workshop will provide an overview of the Berkeley Federal Statistical Research Data Center, with no prior experience assumed. Attendees will learn about the national RDC network, how...Read more about US Census Bureau Restricted-Access Research Data Center (FSRDC) Info Session
LLM Working Group (April 2024)
April 22, 2024
Understanding LLMs: Tarun Gogineni, who is part of the Technical Staff at OpenAI, will discuss the state-of-the-art research on the inner workings and output of LLMs. Tarun works with John Schulman & Liam Fedus on RL and ChatGPT and is a core contributor to GPT4 in the realm of Model Creativity...Read more about LLM Working Group (April 2024)
GPT Fundamentals
April 17, 2024
This workshop offers a general introduction to the GPT (Generative Pretrained Transformers) model. We will explore how they reflect and shape our cultural narratives and social interactions, and which drawbacks and constraints they have.Read more about GPT Fundamentals
Python Machine Learning Fundamentals: Parts 1-2
April 16, 2024
This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction...Read more about Python Machine Learning Fundamentals: Parts 1-2
Survey Fundamentals
April 11, 2024
This two-hour workshop offers a comprehensive introduction to designing and conducting survey studies. Tailored for beginners, it provides clear, step-by-step guidance complemented by concise examples, practical considerations, and useful support materials. Participants will learn the entire...Read more about Survey Fundamentals
Infosession: D-Lab Data Science Fellowship (2024-2025)
April 11, 2024
The D-Lab is seeking applications for the 2024-2025 cohort of Data Science Fellows. This infosession will give you an in-depth look at the D-Lab Data Science Fellowship and an opportunity for you to ask questions about the program that may be helpful to your application process to become a Fellow!Read more about Infosession: D-Lab Data Science Fellowship (2024-2025)
Python Text Analysis: Word Embeddings
April 11, 2024
How can we use neural networks to create meaningful representations of words? The bag-of-words is limited in its ability to characterize text, because it does not utilize word context.Read more about Python Text Analysis: Word Embeddings
Python Text Analysis: Topic Modeling
April 4, 2024
In this part, we study unsupervised learning of text data. This is a stand alone work that builds from the two-part text analysis series.Read more about Python Text Analysis: Topic Modeling
Python Geospatial Fundamentals: Parts 1-2
April 2, 2024
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research.Read more about Python Geospatial Fundamentals: Parts 1-2
Digital Humanities Working Group (April 2nd, 2024)
April 2, 2024
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...Read more about Digital Humanities Working Group (April 2nd, 2024)
Python Intermediate: Parts 1-3
April 2, 2024
This three-part interactive workshop series teaches you intermediate programming Python for people with previous programming experience equivalent to our Python Fundamentals workshop. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data...Read more about Python Intermediate: Parts 1-3
Python Text Analysis Fundamentals: Parts 1-2
March 21, 2024
This two-part workshop series will prepare participants to move forward with research that uses text analysis, with a special focus on humanities and social science applications.Read more about Python Text Analysis Fundamentals: Parts 1-2
R Data Visualization
March 20, 2024
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...Read more about R Data Visualization
R Data Wrangling and Manipulation: Parts 1-2
March 19, 2024
It is said that 80% of data analysis is spent on the process of cleaning and preparing the data for exploration, visualization, and analysis. This R workshop will introduce the dplyr and tidyr packages to make data wrangling and manipulation easier. Participants will learn how to use these packages...Read more about R Data Wrangling and Manipulation: Parts 1-2
LLM Working Group (March 2024)
March 18, 2024
Teaching with LLMs: Emily Hellmich, Genevieve Smith, and Cheryl Berg will lead a dialogue on the potential of LLMs in reshaping educational landscapes. It discusses educational challenges such as AI literacy, academic integrity, biases, hallucinations, and privacy issues, as well as opportunities...Read more about LLM Working Group (March 2024)
Data Science for Social Justice 2024 (Apply by April 15)
March 15, 2024
This 8-week workshop will give you the opportunity to learn the essential tools and methods for data science analysis and be introduced to critical frameworks that will enable you to create a project of your own design and to tell stories that can counter the market-first mentality of data science...Read more about Data Science for Social Justice 2024 (Apply by April 15)
Python Deep Learning: Parts 1-2
March 12, 2024
The goal of this workshop is to build intuition for deep learning by building, training, and testing models in Python. Rather than a theory-centered approach, we will evaluate deep learning models through empirical results.Read more about Python Deep Learning: Parts 1-2
R Geospatial Fundamentals: Parts 1-3
March 11, 2024
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...Read more about R Geospatial Fundamentals: Parts 1-3
R Fundamentals: Parts 1-4 (Evening Workshop)
March 5, 2024
This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data,...Read more about R Fundamentals: Parts 1-4 (Evening Workshop)
Python Data Visualization Pilot: Parts 1-2
March 5, 2024
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 notebook.Read more about Python Data Visualization Pilot: Parts 1-2
Python Geospatial Fundamentals: Parts 1-2
March 5, 2024
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research.Read more about Python Geospatial Fundamentals: Parts 1-2
R Fundamentals: Parts 1-4
March 5, 2024
This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data,...Read more about R Fundamentals: Parts 1-4
Python Data Wrangling and Manipulation with Pandas
March 4, 2024
Pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It enables doing practical, real world data analysis in Python. In this workshop, we'll work with example data and go through...Read more about Python Data Wrangling and Manipulation with Pandas
Covidence: Getting Started
February 29, 2024
Covidence, a web-based tool licensed by the UC Berkeley Library, helps with your systematic and other literature reviews, which are popular processes to summarize and synthesize literature in your topic of interest. Covidence helps you organize and track progress on your review, from search results...Read more about Covidence: Getting Started
Excel Data Analysis: Charts, Pivot Tables, and VLOOKUP
February 29, 2024
This three-hour workshop will cover charts in more detail, review pivot tables, and the widely-used VLOOKUP function. We recommend first taking the introductory workshop Excel Data Analysis: Introduction.Read more about Excel Data Analysis: Charts, Pivot Tables, and VLOOKUP
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