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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.

E.g., 26-Jul-17
E.g., 26-Jul-17
December 9, 2016
Coordinator:
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 8, 2016

Join the Qualitative Methods Group for a conversation with Ph.D. candidate Robert Connell on participatory research.  Mr. Connell will be sharing how he used elements of participatory research methodology in his dissertation field research.

December 8, 2016
Coordinator:
Alex Estes

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:

December 8, 2016
Coordinator:
Patty Frontiera

This workshop will provide an introduction to spatial analysis in R. After a brief review of spatial data types in R we will geocode a set of addresses and then ask spatial questions of those locations. For example, we might ask what school district is a location within, how many locations are within X distance of each shool, or what is the census tract id for a location. 

December 8, 2016
Coordinator:
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 7, 2016
Coordinator:
Ben Gebre-Medhin, Laura Nelson

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.

A basic familiarity with Python is required if you wish to follow along with the tutorial.

December 7, 2016
Coordinator:
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 2 Topics:

December 7, 2016
Coordinator:
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 6, 2016
Coordinator:
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

December 6, 2016 to December 7, 2016
Coordinator:
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.

December 6, 2016
Coordinator:
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:

December 6, 2016
Coordinator:
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
Coordinator:
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
Coordinator:
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.

December 5, 2016
Coordinator:
Chris Hench

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:

December 5, 2016
Coordinator:
Shinhye Choi

This workshop will introduce methods and libraries for mapping spatial data in R.

December 2, 2016
Coordinator:
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:

December 2, 2016
Coordinator:
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
Coordinator:
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
Coordinator:
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.

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