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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., 19-Sep-19
E.g., 19-Sep-19
May 7, 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.

May 7, 2019
Author:
Evan Muzzall

R Fundamentals Part 2: Subsetting and Reshaping

May 7, 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.

May 7, 2019
Author:
Drew Hart

Geospatial data are an important component of social science and humanities data visualization and analysis. The R programming language is a great platform for exploring these data and integrating them into your research. 

Geospatial Data in R, part I: Getting started with spatial data objects

May 6, 2019
Author:
Josué Meléndez Rodríguez

This session focuses on explaining the proces of creating, organizing, and applying codes within the context of qualitative research. An overview of qualitative data analysis (QDA) software will be provided, noting general advantages and disadvantages, as well as comparing popular programs. Participants will also be introduced to analysis using QDA software.

May 6, 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!

May 6, 2019
Author:
Josué Meléndez Rodríguez

This session introduces qualitative research, and is recommended for folks who are new to research in general or to qualitative research in particular. 

The agenda will be as follows:

Workshop: Git Fundamentals
May 6, 2019
Author:
Aaron Culich

Git is a powerful tool for keeping track of changes you make to the files in a project. You can use it to synchronize your work across computers, collaborate with others, and even deploy applications to the cloud. In this workshop, we'll learn the basics of understanding and using Git, including working with the popular "social coding" website, GitHub.

May 6, 2019
Author:
Aaron Culich

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 our R or Python Fundamentals series), follow instructions and documentation online (e.g., StackExchange), and communicate better with your collaborators who are programming.

May 1, 2019
Author:
Nikki Jones

Join Nikki Jones, Associate Professor in the Department of African American Studies, to discuss the importance of Black feminist ethnography. You'll learn from her work, which focuses on the experiences of Black women, men, and youth with the criminal justice system, policing, and with various forms of violence.

April 29, 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.

April 26, 2019
Author:
Simal Ozen Irmak

This interactive workshop goes into the nuts and bolts of effective execution of research process. The goal is to lay out best practices in implementing a research project to make the process more seamless, productive and enjoyable. Through experiential learning exercises, participants will have the opportunity to practice some of the concepts in a supportive setting.

April 25, 2019
Author:
Chris Kennedy, Evan Muzzall

This workshop introduces the basic concepts of Deep Learning - the training and performance evaluation of large neural networks, especially for image classification, natural language processing, and time-series data.

April 24, 2019
Author:
Emily Ozer, PhD, Keegan Freiburger, Catherine Duarte, Brian Villa

Unfortunately, due to a family loss, Prof. Ozer is unable to be present at this event. Catherine Duarte and Brian Villa, her research team members and planned co-presenters, will incorporate a previously recorded lecture by Prof. Ozer and otherwise deliver the presentation as planned. We look forward to your attendance at this event. To Prof.

April 23, 2019
Author:
Caroline Le Pennec

In this workshop we will cover the most common CTA task: supervised classification. Using the Python library scikit-learn, we will implement Logistic Regression and Random Forest methods to perform sentiment analysis. Optional: introduction to word vector representations with Word2Vec.

April 23, 2019
Author:
Chris Kennedy, Evan Muzzall

This workshop introduces the basic concepts of Deep Learning - the training and performance evaluation of large neural networks, especially for image classification, natural language processing, and time-series data.

April 22, 2019
Author:
Lynn Cunningham

In this hands-on workshop, we will learn how to create web graphics for your digital publishing projects and websites. We will cover topics such as: image editing tools in Photoshop; image resolution for the web; sources for free public domain and Creative Commons images; and image upload to publishing tools such as WordPress. If possible, please bring a laptop with Photoshop installed.

April 22, 2019
Author:
Dr. Michael Samuel

This workshop will cover theory and techniques for maximizing the effectiveness of figures used for visualizing information. Rather than teaching any particular visualization software, this course will teach students about the "nuts and bolts" of effective data visualization.  

April 22, 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.

April 18, 2019
Author:
Aaron Culich

Research on Data Science Career Paths

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