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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., 17-Sep-19
E.g., 17-Sep-19
September 16, 2019
Author:
Stacy Reardon

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.

September 16, 2019
Author:
Kate Beck

Crowdsourcing is a method increasingly used in qualitative, quantitative, and mixed-methods research. However, many researchers remain unclear about what this method is, when it may be appropriate to use, and how it could be implemented.

September 13, 2019
Author:
Véronique Irwin

This three-part series will cover the following materials:

Part 1:  Introduction

September 13, 2019
Author:
Evan Muzzall

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.

September 12, 2019
Author:
Evan Muzzall

R Fundamentals Part 4: Putting it all together

In the final part, we will review data importation, subsetting, and visualization. Students will then be given the majority of time to reproduce a workflow on two different datasets, ask questions, and review the solutions as a group.

September 11, 2019
Author:
Isabelle Cohen

This three-part series will cover the following materials:

Part 1:  Introduction

September 11, 2019
Author:
Evan Muzzall

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:

September 10, 2019
Author:
Evan Muzzall

R Fundamentals Part 3: Data Exploration and Analysis

Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots. You will also be introduced to coding statistical data analysis via t-tests, analyses of variance, correlation, and linear regression.

September 9, 2019
Author:
Hero Ashman

This three-part series will cover the following materials:

Part 1:  Introduction

Workshop: MEng R Bootcamp
September 7, 2019 to September 8, 2019
Author:
Chris Paciorek
September 6, 2019
Author:
Evan Muzzall

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:

September 5, 2019
Author:
Evan Muzzall

R Fundamentals Part 2: Subsetting and Reshaping

September 4, 2019
Author:
Evan Muzzall

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:

September 3, 2019
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 for free at our R workshops!

August 30, 2019
Author:
Evan Muzzall

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.

August 29, 2019
Author:
Evan Muzzall

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:

August 28, 2019
Author:
Evan Muzzall

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:

August 27, 2019
Author:
Josué Meléndez Rodríguez

Qualitative Data Analysis (QDA) software is used to organize and structure data, codes, memos, and other components of a qualitative study. 

This workshop is a two-part series for qualitative researchers, new and established, interested in learning about MAXQDA, a QDA software for which D-Lab provides substantive support. 

August 27, 2019
Author:
Josué Meléndez Rodríguez

Qualitative Data Analysis (QDA) software is used to organize and structure data, codes, memos, and other components of a qualitative study.

This workshop is a two-part series for qualitative researchers, new and established, interested in learning about MAXQDA, a QDA software for which D-Lab provides substantive support.

August 27, 2019
Author:
Evan Muzzall

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:

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