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!
Sign up for our weekly newsletter!
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.
Workshop: R Fundamentals: Part 2
December 7, 2016
Author:
Evan Muzzall
December 6, 2016
Author:
Laura Nelson, Ben Gebre-Medhin
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
Workshop: Introduction to Machine Learning in R
December 6, 2016 to December 7, 2016
Author:
Evan Muzzall, Chris Kennedy
Please note: This is a two-part workshop series. The first session will occur Tuesday, December 6 from 2:00pm to 4:00pm. The second session will occur Wednesday, December 7 from 2:00pm to 4:00pm. If you are registered for the December 6 session, your registration is valid for both days.
Workshop: Python for Everything: Part 1
December 6, 2016
Author:
Natalie Ahn
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:
Workshop: R Fundamentals: Part 1
December 6, 2016
Author:
Evan Muzzall
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!
December 5, 2016
Author:
Ben Gebre-Medhin, Laura Nelson
This non-technical workshop provides an overview of computational text analysis methods and tools. No experience in this area is expected or required. The goal is to provide an orientation for those wishing to go further with text analysis and interpret results of these methods.
December 5, 2016
Author:
Steven Au
In this workshop, participants will learn how to use several functions to clean data (if, mid, concatenate, etc.) in Google Sheets. The instructor will demonstrate how these functions can be used to clean data and create an easily digestible presentation of findings.
Workshop: Programming FUN!damentals
December 5, 2016
An intro to the basics that instructors often assume you know, but that you probably never had good instruction on! After this course, you should be able to more easily start learning to program (e.g., in R or python), follow instructions and documentation online (e.g., StackExchange), and communicate better with your collaborators who are programming. This interactive workshop will cover:
Workshop: Creating Maps in R
December 5, 2016
Author:
Shinhye Choi
This workshop will introduce methods and libraries for mapping spatial data in R.
December 2, 2016
Author:
Qingkai Kong
This workshop introduces Artificial Neural Networks (ANNs), a group of popular machine learning algorithms. No prior knowledge is required, though previous experience with other machine learning algorithms would be helpful. The workshop will be divided into 3 parts:
Workshop: Data Organization in Stata
December 2, 2016
Author:
Isabelle Cohen
This workshop will introduce participants to the basics of data and do-file organization to make working in Stata easier. By the end of the workshop, participants will have an understanding of the importance of data organization, and have seen examples of potential structures for how to organize data files, do files, and other documentation.
December 1, 2016
Author:
Shelly Steward
In this workshop, we will explore the process of moving from coded data to conclusions, the logics of analysis, identifying relationships in data, and building arguments with qualitative data.
The instructor will be available after the workshop from 2:00-3:00pm to consult on indivudal questions/projects.
November 30, 2016
Author:
Saika Belal
This workshop will focus on how to create publication-ready graphs using Stata. We will begin with a short demo of how to create standard graphs in Stata, and continue on to more high-quality formats for greater legibility and a more polished display.
November 30, 2016
This workshop will cover how to access databases via RESTful APIs using the Python programming language. Our main example will involve collecting data on news articles through the New York Times Article API.
Workshop: R Graphics with ggplot2
November 29, 2016
Author:
Evan Muzzall
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.
Workshop: Survey Sampling: The Multi-Stage Process
November 29, 2016
Author:
Thomas L. Piazza
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.
Workshop: Introduction to QGIS
November 28, 2016
Author:
Nancy Thomas
This workshop has been designed to introduce GIS to participants with little to no experience. Quantum GIS (QGIS), an open source geospatial desktop application, has been developing at a rapid pace, and has recently reached version 1.8. Its ease of use and accessibility (available for PC, Mac, and Linux platforms) has created a strong and active user community.
Workshop: Qualitative Data Analysis with MaxQDA
November 28, 2016
Author:
Zawadi Rucks-Ahidiana
This workshop covers how to organize and analyze qualitative data in MaxQDA. The training will outline the key decisions researchers must make about approaching coding and what data is most relevant, as well as review how to set up a database, and use folders, codes, document variables, and queries in MaxQDA.
November 21, 2016
Author:
Josh Pepper
PLEAE NOTE: This workshop was originally scheduled for Monday, 11/14 at 2:30-4:00pm. If you were registered for the 11/14 workshop, your status will carry over to this rescheduled date/time.
Come learn how to turn your data into powerful webmaps in R, by combing the power of Leaflet and Shiny!
Workshop: Stata Intensive: Part III
November 17, 2016
Author:
Saika Belal
This three-part series will cover the following materials:
Part I: Introduction (Thurday, November 3)
