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!
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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.
Workshop: R FUN!damentals: Part 1
May 2, 2017
Author:
Evan Muzzall
May 1, 2017
Join the Qualitative Methods Group (QMG) for a conversation with Dr. Carolyn Chen about interviewing.
Workshop: Programming FUN!damentals
May 1, 2017
Author:
Alex Estes
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, 2017
Author:
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.
Workshop: Webscraping in Python: Part 2
April 28, 2017
Author:
Alex Estes
Please note: This is a two-part workshop series. The first session will occur Monday, April 24 from 1:00pm to 4:00pm. The second session will occur Friday, April 28 from 2:00pm to 5:00pm.
This two-part workshop series will teach you how to conduct webscraping in Python. We will cover the following topics:
April 27, 2017
Author:
Deepa Kalpathi
Tableau is a data analysis software suite that creates data driven visualizations without programming. The software works with a variety of input data sources and format sources. Tableau output graphics can be combined together to create interactive dashboards that can be easily shared online. Come learn how to get started with this powerful, widely used visualization tool!
April 27, 2017
This training will help you navigate the copyright, fair use, and usage rights of including third-party content in your digital project.
April 26, 2017
Omeka is ideal for creating and displaying an online collection or exhibit composed of many digital items. If you have a bunch of digital images, scans, and files around a certain theme or project, and you would like to organize, describe, and showcase these files, Omeka may be a good fit for you.
April 26, 2017
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 25, 2017
Join the Qualitative Methods Group (QMG) for a conversation with Dr. Nikki Jones about ethnographic research. Dr. Jones will be sharing from her ethnography of the Fillmore District.
Workshop: Webscraping in Python: Part 1
April 24, 2017
Please note: This is a two-part workshop series. The first session will occur Monday, April 24 from 1:00pm to 4:00pm. The second session will occur Friday, April 28 from 2:00pm to 5:00pm. You can register for the second session here.
April 24, 2017
Author:
Jon Stiles
Ever wonder how to find demographic data about your research site? In this workshop, Jon Stiles will provide an introduction to where to find this kind of data.
Workshop: Stata FUN!damentals: Part 3
April 21, 2017
Author:
Saika Belal
This three-part series will cover the following materials:
Part 1: Introduction (Friday, April 7)
Workshop: CANCELED: A Tour of Bancroft Library
April 17, 2017
Author:
Zawadi Rucks-Ahidiana
Ever wonder what exactly is housed at the Bancroft Library and how to get access to materials? Join D-Lab for a special tour of their archival resources! Meet your host, Zawadi Rucks-Ahidiana, at Bancroft by 1:50pm with a quarter ready to leave your belongings in a locker. Want to take notes?
Workshop: Machine Learning in Python
April 17, 2017
This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets.
Workshop: The Basics of Excel: Part 3
April 17, 2017
Author:
Daniela Vargas Mallard
This three-part series will focus on how to set up database-like structures, navigate them, create models and build various types of reports in Microsoft Excel. By the end of this series, participants will be able to sort and look for information within large datasets, use character-based functions, pivot tables, and build basic financial models.
Workshop: Network Analysis
April 17, 2017
Author:
Adam G. Anderson
GSE network analysis workshop
April 14, 2017
The first part of the session will discuss why keyboard input is important for the world’s languages, and factors on how to select and evaluate keyboard layouts. The talk will also touch on virtual keyboards and building input methods for mobile devices.
Workshop: Stata FUN!damentals: Part 2
April 14, 2017
Author:
Isabelle Cohen
This three-part series will cover the following materials:
Part 1: Introduction (Friday, April 7)
April 13, 2017
Join the Qualitative Methods Group (QMG) for a conversation with Dr. Anna Hoffman about using discourse analysis (also called content analysis) to analyze qualitative data. Dr. Hoffman will share her experiences working with social media data.
