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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., 20-Nov-17
E.g., 20-Nov-17
May 3, 2017
Coordinator:
Zawadi Rucks-Ahidiana

Coding is done, now what? You’ve finished coding your qualitative data and now it’s time to start the “analysis” process. Where do you start? Through this interactive workshop session, qualitative researchers will learn several approaches to transition from coding to analysis. Researchers in all phases of the qualitative research process are welcome to attend.

May 3, 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:

May 3, 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!

May 2, 2017
Coordinator:
Zawadi Rucks-Ahidiana

This workshop covers how to organize and analyze qualitative data in MaxQDA. The training will outline the key decisions researchers must make about approaching coding and what data is most relevant, as well as review how to set up a database, and use folders, codes, document variables, and queries in MaxQDA.

May 2, 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 1 Topics:

May 2, 2017
Coordinator:
Saika Belal

This three-part series will cover the following materials:

Part 1:  Introduction (Tuesday, May 2)

May 2, 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!

May 1, 2017

Join the Qualitative Methods Group (QMG) for a conversation with Dr. Carolyn Chen about interviewing.  

May 1, 2017
Coordinator:
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
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.

April 28, 2017
Coordinator:
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
Coordinator:
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
Coordinator:
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.

April 24, 2017
Coordinator:
Chris Hench

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
Coordinator:
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.

April 21, 2017
Coordinator:
Saika Belal

This three-part series will cover the following materials:

Part 1: Introduction (Friday, April 7)

April 17, 2017
Coordinator:
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?

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