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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-Jun-17
E.g., 26-Jun-17
January 24, 2017
Coordinator:
Zawadi Rucks-Ahidiana

Bring your interview questions to test them out and get feedback! 

Attendees will get to try out their interview questions on other attendees and get feedback on their questions. This workshop is best suited for qualitative interviews that are semi-structured or structured. Please bring 2 copies of the questions you'd like to try out.

January 23, 2017

Diana Lara Rodgers will walk attendees through an example of how Atlas.TI was used for the research project described here:

Exploring how nonMexico City residents access abortion services in Mexico City: A qualitative study

January 23, 2017
Coordinator:
Zawadi Rucks-Ahidiana

This research presentation will walk attendees through an example of how MaxQDA was used for the research project described here:  

The De-Racialization of Latino Space: Gentrification and Race in San Francisco, 1990-2014

January 23, 2017
Coordinator:
Zawadi Rucks-Ahidiana

This introductory workshop provides guidance and advice on how to prepare for qualitative data analysis whether you are using a QDA package like Atlas.TI, Dedoose, or MaxQDA, working with Word or Excel, or using scissors and highlighters.

January 13, 2017
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.

January 13, 2017
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!

January 12, 2017
Coordinator:
Ben Gebre-Medhin, Laura Nelson

In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification. We will use list comprehension to implement the dictionary method, using sentiment analysis as our example.

January 12, 2017
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:

January 12, 2017
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!

January 11, 2017
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.

January 11, 2017
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 2 Topics:

January 11, 2017
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!

January 10, 2017
Coordinator:
Ben Gebre-Medhin, Laura Nelson

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

January 10, 2017
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:

January 10, 2017
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!

January 9, 2017
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.

January 9, 2017
Coordinator:
Natalie Ahn

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:

January 9, 2017
Coordinator:
Patty Frontiera

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

December 9, 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.

December 9, 2016
Coordinator:
Drew Hart

This workshop will demonstrate the capabilities of the GeoPandas library for working with spatial data & creating maps in python. We will begin with an introduction to spatial data and progress to mapping and basic geoprocessing and analysis. We will also introduce geocoding as a way to create spatial data. 

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