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.
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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.
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!
Learn how to build custom machine classifiers for sifting Twitter data using Texifter and DiscoverText, presented by Dr. Stuart Shulman, Founder & CEO of Texifter.
The topics covered include how to:
Learn how to build custom machine classifiers for sifting Twitter data using Texifter and DiscoverText, presented by Dr. Stuart Shulman, Founder & CEO of Texifter.
The topics covered include how to:
Genevieve came to doctoral studies after obtaining Master of Social Work and Master of Science in Marriage and Family Studies degrees from the University of Illinois, Urbana-Champaign and engaging in over five years of professional practice. Her current research focuses on child mental health policy and evidence-based practice.
This three-part series will cover the following materials:
Part 1: Introduction
This hands on workshop builds on part 2 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods. This workshop will cover a) vectorization and Document Term Matrices, b) weighting (tf-idf), and c) uncovering patterns using topic modeling.
LaTeX is a widely used document creation software which can help you improve the presentation of homework, papers, academic articles and even presentations.
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:
Join the Qualitative Methods Group and presenters Andrew Estrada Phuong, Judy Nguyen, and Dena Marie as they discuss applying mixed-methods within randomized control trials to study adaptive equity-oriented pedagogies.
Come learn how to turn your data into beautiful webmaps using R and Leaflet, one of the most popular libraries for creating web maps. We’ll cover how to build the entire workflow from raw data to interactive map all within R, so your analysis and mapping are entirely reproducible.
This workshop will cover the main types of weighting, to correct for bias in sample data.
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.
This three-part series will cover the following materials:
Part 1: Introduction
This hands on workshop goes through the common “preprocessing recipe” that is used as the foundation for a variety of other applications as well as some basic natural language processing techniques. These include: a) digitization (utf 8), b) removal of stopwords, numbers, punctuation, c) tokenization, d) calculation of word frequencies / proportions, e) part of speech tagging, and f) concordan
This worshop will build on the introduction to ArcGIS Online and introduce StoryMaps in ArcGIS Online. If you want to make a web map that people explore with a directed sequence that includes supporting mixed media, StoryMaps are an easy way to collaborate and share.
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.
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.
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 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.