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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:
This workshop will introduce students to QGIS, a free and open source desktop software tool for working with geographic data. We will use geographic and tabular data from the US Census to demonstrate the functionality of QGIS as well as to discuss GIS (geographic information systems) in general. Participants will learn how to load data in CSV and ESRI shapefile formats into QGIS.
Students will learn the basics of cleaning, transforming, and formatting text data. They will pull specific elements out of text strings, and pull simple metrics from text data, such as word counts, syntax quantification via part of speech (POS) tagging, and sentiment polarity. Students will be introduced to topic modeling and word2vec methods.
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.
Learn data visualization best practices to take your information communication to the next level. We'll cover terminology, tips for general approach to decision making using data, how metaphor influences visualization, basic color theory, and how to convert qualitative information into meaningful metrics.
Prior knowledge: No prior knowledge required
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!
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.
This three-part series will cover the following materials:
Part 1: Introduction (Thursday, September 7)
R FUN!damentals Part 4: For-loops and Functions
Students will learn how to write for-loops and functions in R. You will learn how to personalize functions via control structures such as ‘if’ and ‘else’. These learning objectives will be exemplified through introduction to the construction and graphical representation of Monte Carlo resampling simulation.
How do you go about publishing a digital book, a multimedia project, a digital exhibit, or another kind of digital project? In this workshop, we'll take a look at use cases for common open-source web platforms WordPress, Drupal, Omeka, and Scalar, and we'll talk about hosting, storage, and asset management. There will be time for hands-on work in the platform most suited to your needs.
This workshop offers a very basic introduction to qualitative research. First, an overview of the qualitative research process will be presented. Then, attendees will briefly explore (a) philosophical and conceptual considerations regarding research, (b) qualitative methodologies and methods, and (c) ways in which technology can aid the qualitative research process.
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:
This workshop will introduce the ArcGIS Online (AGOL) platform. AGOL is a web-based mapping software that allows you to build maps and explore data online. Topics to be covered include how to construct a simple web map from a spreadsheet of data, perform basic spatial analysis and queries, and publish the map to the web.
Getting research materials in a digital form that you can search and computationally analyze can be a time-consuming initial step in the research process. While Adobe Acrobat can do basic optical character recognition (OCR, transforming an image of a text into editable text), it performs poorly on documents with complex layouts or non-English text.
R FUN!damentals Part 3: Data Exploration and Analysis
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.
This introductory workshop is geared towards social scientists and digital humanitists who have data - spreadsheets, scanned maps, digital photos, etc - that they want to display on a map. We explore these tasks in CARTO, a versatile web mapping and geospatial analysis tool.
This three-part series will cover the following materials:
Part 1: Introduction (Thursday, September 7)
R FUN!damentals 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:
