Upcoming Workshops

Welcome to D-Lab!

Campus Community

Our entire campus community is welcome to sign up for our workshops— graduate students, undergrads, faculty, postdocs, staff, visiting scholars, and anyone else with an active @berkeley.edu email address!

Partners

If you are not affiliated with the UC Berkeley campus, you may be eligible to register for our workshops through our partner portals for Berkeley Lab (LBL), CZ Biohub, California Research Bureau (CRB) or UCSF.

Everyone Else

We do not offer our workshops to individual members of the general public, however if your organization is interested in partnering with the D-Lab to offer our workshops, consulting, and other services, please email: dlab-frontdesk@berkeley.edu

Python Fundamentals: Parts 1-3

January 13, 2025

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...Read more about Python Fundamentals: Parts 1-3

R Fundamentals: Parts 1-4

January 13, 2025

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 Fundamentals: Parts 4-6

January 27, 2025

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 Fundamentals: Parts 4-6

Digital Humanities Working Group (February 2025)

February 3, 2025

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 (February 2025)

Excel Data Analysis: Introduction

February 3, 2025

This is a three-hour introductory workshop that will provide an overview of Excel, with no prior experience assumed. Attendees will learn how to use functions for handling data and making calculations, how to build charts and pivot tables, and more.Read more about Excel Data Analysis: Introduction

R Fundamentals: Parts 1-4

February 3, 2025

Qualtrics Fundamentals

February 6, 2025

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,...Read more about Qualtrics Fundamentals

R Data Wrangling and Manipulation: Parts 1-2

February 10, 2025

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

Excel Data Analysis: Charts, Pivot Tables, and VLOOKUP

February 10, 2025

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

Python Data Wrangling and Manipulation with Pandas: Parts 1-2

February 10, 2025

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: Parts 1-2

R Data Visualization

February 14, 2025

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

Institutional Review Board (IRB) Fundamentals

February 18, 2025

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.Read more about Institutional Review Board (IRB) Fundamentals

Python Data Visualization: Parts 1-2

February 19, 2025

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: Parts 1-2

Python GPT Fundamentals

February 20, 2025

This workshop offers a general introduction to the GPT (Generative Pretrained Transformers) model. No technical background is required. We will explore the transformer architecture upon which GPT models are built, how transformer models encode natural language into embeddings, and how GPT predicts...Read more about Python GPT Fundamentals

Stata Fundamentals: Parts 1-3

February 24, 2025

This workshop is a three-part introductory series that will teach you Stata from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the Stata software, understand data and basic manipulations, import and subset data, explore and...Read more about Stata Fundamentals: Parts 1-3

Python Machine Learning Fundamentals: Parts 1-2

February 24, 2025

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

R Machine Learning with tidymodels: Parts 1-2

February 24, 2025

Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data. During this two part workshop, we...Read more about R Machine Learning with tidymodels: Parts 1-2

R Geospatial Fundamentals: Parts 1-2

February 25, 2025

In this 2-part workshop series, we will provide an introduction to spatial analyses in R. We discuss the benefits of the additional ‘location' component that defines spatial data and how spatial data frames organize this information. Using the sf (simple features) and terra packages, we'll navigate...Read more about R Geospatial Fundamentals: Parts 1-2

MAXQDA Fundamentals

February 25, 2025

This two-hour introductory workshop will teach you MaxQDA from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the MaxQDA software, upload multiple forms of data then how to use manual and autocode features. We will review some...Read more about MAXQDA Fundamentals

Python Web APIs

March 3, 2025

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...Read more about Python Web APIs

Excel Data Analysis: Introduction

March 3, 2025

Python Geospatial Fundamentals: Parts 1-2

March 4, 2025

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

Python Web Scraping

March 5, 2025

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.Read more about Python Web Scraping

Qualtrics Fundamentals

March 5, 2025

Excel Data Analysis: Charts, Pivot Tables, and VLOOKUP

March 7, 2025

R Census Data Fundamentals

March 10, 2025

In this workshop, we provide an overview of conducting U.S. Census data analysis and visualization in R. First, we’ll cover the basic concepts of U.S. Census Data. Then, we’ll demonstrate how to call the census data API directly from R by using the R tidycensus package.Read more about R Census Data Fundamentals

Python Fundamentals: Parts 4-6

March 11, 2025

Python Text Analysis: Parts 1-3

March 17, 2025

This three-part workshop will prepare participants to move forward with research that uses text analysis, with a special focus on social science applications. We explore fundamental approaches to applying computational methods to text in Python. We cover some of the major packages used in natural...Read more about Python Text Analysis: Parts 1-3

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