Past Workshops
R Data Wrangling and Manipulation: Parts 1-2
March 13, 2023
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
Python Text Analysis Fundamentals: Parts 1-2
March 8, 2023
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
Data Science for Social Justice Workshop 2023
March 1, 2023
This 8-week online workshop for currently enrolled UC Berkeley graduate students 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...Read more about Data Science for Social Justice Workshop 2023
Python Fundamentals Pilot: Parts 1-3
February 28, 2023
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 Pilot: Parts 1-3
Stata Fundamentals: Parts 1-3
February 28, 2023
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
R Fundamentals: Parts 1-4
February 27, 2023
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
R Geospatial Fundamentals: Raster Data
February 23, 2023
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: Raster Data
QGIS Geospatial Fundamentals: Parts 1-2
February 22, 2023
This workshop will introduce methods for working with geospatial data in QGIS, a popular open-source desktop GIS program that runs on both PCs and Macs as well as linux computers. Participants will learn how to load, query and visualize point, line and polygon data. We will also introduce basic...Read more about QGIS Geospatial Fundamentals: Parts 1-2
R Machine Learning with tidymodels: Parts 1-2
February 22, 2023
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
Excel Data Analysis: Charts, Pivot Tables, and VLOOKUP
February 16, 2023
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
R Data Visualization
February 16, 2023
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
Python Data Visualization
February 16, 2023
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
R Geospatial Fundamentals: Vector Data, Parts 1-2
February 16, 2023
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: Vector Data, Parts 1-2
Qualtrics Fundamentals
February 15, 2023
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
Pizza Info Session for Haas Scholars Program and SURF Fellowships
February 15, 2023
Want to find out more about the Haas Scholars Program with $13,800 in undergraduate funding? Or how about the Summer Undergraduate Research Fellowship (SURF) fellowships for L&S students? There are so many funding opportunities to learn about, many with application windows approaching!Read more about Pizza Info Session for Haas Scholars Program and SURF Fellowships
Python Geospatial Data and Mapping: Parts 1-2
February 15, 2023
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 Data and Mapping: Parts 1-2
Excel Data Analysis: Introduction
February 14, 2023
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
Python Data Wrangling and Manipulation with Pandas
February 14, 2023
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
MaxQDA: Introduction
February 14, 2023
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: Introduction
R Data Wrangling and Manipulation: Parts 1-2
February 9, 2023
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
Bash + Git: Introduction
February 8, 2023
This workshop will start by introducing you to navigating your computer’s file system and basic Bash commands to remove the fear of working with the command line and to give you the confidence to use it to increase your productivity. And then working with Git, a powerful tool for keeping track of...Read more about Bash + Git: Introduction
Python Machine Learning Fundamentals: Parts 1-2
February 7, 2023
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
GIS & Mapping Community of Practice meetup
February 7, 2023
This month's "welcome back" meetup & pizza social is hosted by the D-Lab! We'll meet in the D-Lab Collaboratory and learn about the D-Lab's services, trainings, and spaces. Plus, of course, opportunities to chat with other folks on campus about what they're doing with GIS & mapping.Read more about GIS & Mapping Community of Practice meetup
Institutional Review Board (IRB) Fundamentals
February 7, 2023
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
January 25, 2023
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
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