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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., 15-Jul-18
E.g., 15-Jul-18
May 1, 2018
Coordinator:
Hoda Magid

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!

April 30, 2018
Coordinator:
Josué Meléndez Rodríguez

This workshop offers a very basic introduction to qualitative research. First, an overview of the qualitative research process will be presented. Then, attendees will briefly explore (a) philosophical considerations regarding research, (b) qualitative methodologies and methods, and (c) ways in which technology can aid the qualitative research process.  

April 30, 2018
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 30, 2018
Coordinator:
Patty Frontiera

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

April 30, 2018
Coordinator:
Qingkai Kong

This workshop introduces Artificial Neural Networks (ANNs), a group of popular machine learning algorithms. No prior knowledge is required, though previous experience with other machine learning algorithms would be helpful. The workshop will be divided into three parts:

April 24, 2018
Coordinator:
Rachel Jansen

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.

April 23, 2018
Coordinator:
Zawadi Rucks-Ahidiana

Join Zawadi Rucks-Ahidiana, previously the Qualitative Research Lead at D-Lab and currently a PhD Candidate in the Sociology Department, to learn about her engagement in multi-method analysis with newspaper articles as qualitative data sources. Zawadi will discuss her work, specifically her dissertation research, before engaging in an extensive Q&A with attendees.

April 19, 2018
Coordinator:
Armando Lara-Millan, Brian Sargent

Join Prof. Armando Lara-Millan, from UC Berkeley's Sociology Department, and Dr. Brian Sargent, from University of Washington's Department of Sociology, to learn about their engagement in research as ethnographers and historical sociologists. Prof. Lara-Millan and Dr.

April 18, 2018
Coordinator:
Jackie Ferguson

This three-part series will cover the following materials:

Part 1:  Introduction

April 17, 2018
Coordinator:
Lynn Cunningham, Julie Wolf

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 17, 2018
Coordinator:
Rachel Jansen

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:

April 13, 2018
Coordinator:
Kimberly Rubens

This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.

Topics Covered Will Include:

April 13, 2018
Coordinator:
Soumya Gupta

This workshop will cover how to extract data from the web using Python. We'll be covering both APIs and webscraping. 

Topics Covered:

How the web works

HTML / CSS

Webscraping with Beautiful Soup

April 12, 2018
Coordinator:
Stacy Reardon

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 11, 2018
Coordinator:
Kimberly Rubens

This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.

Topics Covered Will Include:

April 11, 2018
Coordinator:
Isabelle Cohen

This three-part series will cover the following materials:

Part 1:  Introduction

April 10, 2018
Coordinator:
Geoff Bacon, Chris Gagne

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:

Workshop: Test Workshop
April 9, 2018
Coordinator:
Patty Frontiera

THIS IS A TEST. This is not a real training.

April 9, 2018
Coordinator:
Zawadi Rucks-Ahidiana, Josué Meléndez Rodríguez

This workshop focuses on how to organize and code qualitative data in MAXQDA. The training will outline key decisions researchers must make in the coding process, as well as review how to start a new project and engage in basic tasks.

April 9, 2018
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.  

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