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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-Oct-18
E.g., 20-Oct-18
April 18, 2018
Author:
Jackie Ferguson

This three-part series will cover the following materials:

Part 1:  Introduction

April 17, 2018
Author:
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
Author:
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
Author:
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
Author:
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
Author:
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
Author:
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
Author:
Isabelle Cohen

This three-part series will cover the following materials:

Part 1:  Introduction

April 10, 2018
Author:
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
Author:
Patty Frontiera

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

April 9, 2018
Author:
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
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 6, 2018
Author:
Kimberly Rubens

In Visualization in Excel, we will cover the fundamentals of visualization in Excel, including a checklist of considerations that should go into every visualization. We will also go through step by step instructions on how to make horizontal bar charts, slope graphs, butterfly charts, the good kind of pie charts, icon arrays, and how to graph confidence intervals.

Workshop: MAX QDA
April 5, 2018
Author:
Claudia von Vacano

MAX QDA GSE

April 4, 2018
Author:
Kari Peterson

Add data visualization to your communication toolbox without learning to code. Tableau cuts down the time you need to spend creating visualizations through an intuitive graphical user interface. Learn the basics in this hands-on, two-part workshop.

Knowledge Requirements: No prerequisites

April 4, 2018
Author:
Hoda Magid

This three-part series will cover the following materials:

Part 1:  Introduction

April 3, 2018
Author:
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 1 Topics:

April 2, 2018
Author:
Kari Peterson

Add data visualization to your communication toolbox without learning to code. Tableau cuts down the time you need to spend creating visualizations through an intuitive graphical user interface. Learn the basics in this hands-on, two-part workshop.

Knowledge Requirements: No prerequisites

April 2, 2018
Author:
Evan Muzzall

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.

March 23, 2018
Author:
Chris Gagne

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.

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