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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 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.
Part 3 Topics:
The Introduction to Blockchain workshop aims to demystify blockchain and decentralized technologies, starting with the history of Bitcoin to an overview of blockchain and how it works. In this workshop, we'll introduce you to fundamental topics in the blockchain space while you get to explore its different applications and use cases in the real world.
This training will help you navigate the copyright, fair use, and usage rights of including third-party content in your digital project.
ESRI Story Maps let you combine maps with text, images, and multimedia content in a web page. Story Maps make it easy to harness the power of maps as a framework to tell your story. This workshop will introduce the process of creating StoryMaps in ArcGIS Online (AGOL).
In this hands-on workshop, we will learn the basics of creating a WordPress site, a web-based platform good for blogs, scholarly portfolios, and websites. By the end of the workshop, you will know how to post content, embed images and video, customize themes and appearance, and work with plugins. Please bring a laptop if possible.
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.
Part 2 Topics:
R FUN!damentals Part 2: Subsetting and Reshaping
This workshop has been cancelled. The workshop will be offered again during RRR week. Stay tuned for details. Our most sincere apologies for any inconvenience.
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.
Part 1 Topics:
It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This workshop will introduce tools (notably dplyr and tidyr) that makes data wrangling and manipulation much easier. Participants will learn how to use these packages to subset and reshape data sets, do calculations across groups of data, clean data, and other useful stuff.
Join D-Lab for a conversation with Ariana Thompson-Lastad, a PhD Candidate at the UC San Francisco Department of Social and Behavioral Sciences and Affiliated Graduate Student with the UC Berkeley Institute for the Study of Societal Issues. Ariana is currently writing her mixed-methods dissertation, which uses interviews, observations, and a self-designed survey.
Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills at the free D-Lab R workshops!
In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification. We will use list comprehension to implement the dictionary method, using sentiment analysis as our example.
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 workshop will provide a comprehensive overview of graphics in R, including base graphics and ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data.
Geospatial data are an important component of social science and humanities data visualization and analysis. The R programming language is a great platform for exploring these data and integrating them into a research project.
Geospatial Data in R Part 2: Geoprocessing and Analysis
This workshop will introduce students to the basics of designing a survey instrument using the Qualtrics platform, such as randomization and survey flow. We will also cover more advanced topics like implementing embedded data and using javascript, as well as tips and tricks on how to use your design to maximize the number of quality responses you get.
This workshop is Part 2 of a two-part series on survey sampling. Multi-stage sampling is required when a complete list of the target sampling units (persons or households) is unavailable or too expensive to assemble. This workshop will discuss how to select units in stages so that the final sample is a probability sample of the defined population.
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:
