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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., 23-Apr-25
E.g., 23-Apr-25
October 9, 2017
Author:
Alex Estes

Please note: This is a three-part workshop series. The first session will occur Monday, October 2 from 1:00-4:00pm. The second session will occur Monday, October 9 from 1:00-4:00pm. The third session will occur Monday, October 23 from 1:00-4:00pm.

October 9, 2017
Author:
Isabelle Cohen

This three-part series will cover the following materials:

Part 1:  Introduction

October 5, 2017
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 workshop.

October 4, 2017

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.

October 4, 2017
Author:
Patty Frontiera

In this hands-on workshop participants will create maps of geographic data. Participants will build on their knowledge of R to create static maps with ggplot2. We will then practice adding reference maps, or basemaps, to the static maps using ggmap. Finally, we introduce the leafletR package for creating interactive data maps.

October 3, 2017
Author:
Michael Sholinbeck

Participants in this workshop will learn about some of the issues surrounding the collection of health statistics, and will also learn about authoritative sources of health statistics and data. We will look at tools that let you create custom tables of vital statistics (birth, death, etc.), disease statistics, health behavior statistics, and more. The focus will be on U.S.

October 3, 2017
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 at the free D-Lab R workshops!

October 2, 2017
Author:
Alex Estes

Please note: This is a three-part workshop series. The first session will occur Monday, October 2 from 1:00-4:00pm. The second session will occur Monday, October 9 from 1:00-4:00pm. The third session will occur Monday, October 23 from 1:00-4:00pm.

October 2, 2017
Author:
Evan Muzzall

R FUN!damentals Part 4: For-loops and Functions

Students will learn how to write for-loops and functions in R. You will learn how to personalize functions via control structures such as ‘if’ and ‘else’. These learning objectives will be exemplified through introduction to the construction and graphical representation of Monte Carlo resampling simulation.

September 29, 2017
Author:
Chris Gagne
September 28, 2017
Author:
Isabelle Cohen

This workshop will focus on how to create publication-ready graphs using Stata. We will begin with a short demo of how to create standard graphs in Stata, and continue on to more high-quality formats for greater legibility and a more polished display.

September 27, 2017
Author:
Josué Meléndez Rodríguez

This workshop will provide an overview of popular QDA software (i.e., NVivo, MaxQDA, Dedoose, and Atlas.TI), including a review of similarities and differences. This workshop is ideal for researchers who are new to QDA software. More advanced workshops will be offered throughout the semester.

September 27, 2017
Author:
Patty Frontiera

This workshop will introduce geocoding--the process of determining the geographic location of a place name, zipcode, or address. The first part of this workshop will be an introduction to the process of geocoding and strategies for achieving good results. We will briefly discuss the pros and cons of the various software tools available for geocoding.

September 26, 2017
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 workshop.

September 25, 2017
Author:
Evan Muzzall
R FUN!damentals Part 3: Data Exploration and Analysis
September 22, 2017
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.

September 22, 2017
Author:
Evan Muzzall

R FUN!damentals Part 2: Subsetting and Reshaping

September 21, 2017
Author:
Saika Belal

This three-part series will cover the following materials:

Part 1:  Introduction (Thursday, September 7)

September 21, 2017
Author:
Chris Kennedy

Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data.

September 20, 2017

This free webinar will provide an overview demonstration of key functionality of NVivo software for qualitative research. Topics to be covered in the webinar include:

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