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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-Jul-18
E.g., 20-Jul-18
March 6, 2018
Coordinator:
Saika Belal

This three-part series will cover the following materials:

Part 1:  Introduction

March 5, 2018
Coordinator:
Geoff Bacon

This hands on workshop goes through the common “preprocessing recipe” that is used as the foundation for a variety of other applications as well as some basic natural language processing techniques.  These include: a) digitization (utf 8), b) removal of stopwords, numbers, punctuation, c) tokenization, d) calculation of word frequencies / proportions, e) part of speech tagging, and f) concordan

March 5, 2018
Coordinator:
Janet Torres

This worshop will build on the introduction to ArcGIS Online and introduce StoryMaps in ArcGIS Online. If you want to make a web map that people explore with a directed sequence that includes supporting mixed media, StoryMaps are an easy way to collaborate and share.

March 2, 2018
Coordinator:
Josh Quan

This workshop will provide a comprehensive overview of graphics in R, including base graphics and ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data.

March 1, 2018
Coordinator:
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.

February 28, 2018
Coordinator:
Josh Quan

It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This workshop will introduce tools (notably dplyr and tidyr) that makes data wrangling and manipulation much easier. Participants will learn how to use these packages to subset and reshape data sets, do calculations across groups of data, clean data, and other useful stuff.

February 28, 2018
Coordinator:
Susan Powell

This workshop will introduce the ArcGIS Online (AGOL) platform. AGOL is a web-based mapping software that allows you to build maps and explore data online. Topics to be covered include how to construct a simple web map from a spreadsheet of data, perform basic spatial analysis and queries, and publish the map to the web.

February 28, 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.

February 27, 2018
Coordinator:
Geoff Bacon

Are you trying to search for or clean up certain segments of text in your documents or data files, but it's taking hours to search and replace, because you have to type many slightly different versions of the keywords you're searching for? Perhaps you need to replace month names with just the first three letters, but you don't want to do this 12 times (once for each month), for lowercase, capit

February 27, 2018
Coordinator:
Evan Muzzall

R FUN!damentals Part 3: Data Exploration and Analysis

Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots. You will also be introduced to coding statistical data analysis via t-tests, analyses of variance, correlation, and linear regression.

February 26, 2018
Coordinator:
Josué Meléndez Rodríguez

This workshop will introduce participants to the use of qualitative data analysis (QDA) software and briefly review popular programs. This workshop is ideal for researchers who are new to the idea of using QDA software.

February 26, 2018
Coordinator:
Geoff Bacon

This non-technical workshop provides an overview of computational text analysis methods and tools. No experience in this area is expected or required. The goal is to provide an orientation for those wishing to go further with text analysis and interpret results of these methods.

February 26, 2018
Coordinator:
Patty Frontiera

DH Fellows Lecture Series | Louisiana Slave Conspiracies

February 26, 2018
Coordinator:
Soumya Gupta

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It enables doing practical, real world data analysis in Python.

In this workshop, we'll work with example data and go through the various steps you might need to prepare data for analysis.

We plan to cover:

February 22, 2018
Coordinator:
Stacy Reardon

Developed by the Alliance for Networking Visual Culture, Scalar is a web platform designed especially for multimedia digital projects and for multimedia academic texts. Like Wordpress, it is easy to create content, but it is distinguished by multiple ways of navigating through a project, annotation and metadata features, and image and video options.

February 22, 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:

February 22, 2018
Coordinator:
Evan Muzzall

R FUN!damentals Part 2: Subsetting and Reshaping

February 21, 2018
Coordinator:
Janet Torres

This workshop is co-hosted by D-Lab and the Library

February 21, 2018
Coordinator:
Soumya Gupta

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:

February 20, 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:

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