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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 2 Topics:
R Fundamentals Part 2: Subsetting and Reshaping
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:
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 for free at our R workshops!
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 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:
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:
Qualitative Data Analysis (QDA) software is used to organize and structure data, codes, memos, and other components of a qualitative study.
This workshop is a two-part series for qualitative researchers, new and established, interested in learning about MAXQDA, a QDA software for which D-Lab provides substantive support.
Qualitative Data Analysis (QDA) software is used to organize and structure data, codes, memos, and other components of a qualitative study.
This workshop is a two-part series for qualitative researchers, new and established, interested in learning about MAXQDA, a QDA software for which D-Lab provides substantive support.
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:
This 2-part workshop will introduce ESRI's ArcGIS Online (AGOL), a web based platform for creating online maps, processing geospatial data and doing spatial analysis. Part 2 will focus on ways to share geospatial data hosted on AGOL using ESRI Story Maps, Operations Dashboards, and custom programming.
This session focuses on explaining the proces of creating, organizing, and applying codes within the context of qualitative research. A brief overview of qualitative data analysis (QDA) software will be provided, noting advantages and disadvantages. The agenda will be as follows:
D-Lab Welcome (5 mins)
Intro of Facilitator & Participants (5 mins)
This session introduces qualitative research, and is recommended for folks who are new to research in general or to qualitative research in particular. The agenda will be as follows:
D-Lab Welcome (5 mins)
Intro of Facilitator & Participants (5 mins)
Primer on Qualitative Research (90 mins)
Basic Concepts & Processes
Theories & Frameworks
This 2-part workshop will introduce ESRI's ArcGIS Online (AGOL), a web based platform for creating online maps, processing geospatial data and doing spatial analysis. Part 1 will provde a hands-on overview of uploading data to AGOL, creating web maps, and symbolizing mapped data by attribute values. Part I will also introduce the tools for geoprocessing and spatial analysis.
Co-sponsored by the UC Berkeley Statistics Department, D-Lab, and the Statewide Database at Berkeley Law.
The workshop will be an intensive two-day introduction to R using RStudio. After the first morning session, the workshop will be split into two separate tracks. Topics will include
R Fundamentals Part 4: Putting it all together
In the final part, we will review data importation, subsetting, and visualization. Students will then be given the majority of time to reproduce a workflow on two different datasets, ask questions, and review the solutions as a group.
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
R Fundamentals Part 3: Data Exploration and Analysis
Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots. You will also be introduced to coding statistical data analysis via t-tests, analyses of variance, correlation, and linear regression.
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 your research.
Geospatial Data in R, part I: Getting started with spatial data objects
R Fundamentals Part 2: Subsetting and Reshaping
