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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-Oct-18
E.g., 23-Oct-18
February 28, 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.

February 27, 2018
Author:
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
Author:
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
Author:
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
Author:
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
Author:
Patty Frontiera

DH Fellows Lecture Series | Louisiana Slave Conspiracies

February 26, 2018
Author:
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
Author:
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
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:

February 22, 2018
Author:
Evan Muzzall

R FUN!damentals Part 2: Subsetting and Reshaping

February 21, 2018
Author:
Janet Torres

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

February 21, 2018
Author:
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
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:

February 20, 2018
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!

February 16, 2018
Author:
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 a research project. 

Geospatial Data in R, part 2: Geoprocessing and analysis

February 15, 2018
Author:
David Harding

Join Prof. David Harding, from UC Berkeley's Sociology Department, to learn about his engagement with qualitative research. Prof. Harding will present on some of his work and then engage in a in-depth Q&A with attendees. All with an interest in qualitative research, regardless of previous education and experience, are welcome.

February 14, 2018
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.

February 14, 2018
Author:
Susan Powell

This workshop will cover two core methods for mapping tabular geospatial data: table joins and spatial joins. Table joins allow you to link the content in two tables together based on a key field, while spatial joins allow you to connect layer features based on their spatial location. We will be using QGIS to explore these two tools.

February 14, 2018
Author:
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 2 Topics:

February 13, 2018
Author:
Stacy Reardon

The Text Encoding Initiative (TEI) offers a standard way of describing texts to make them machine readable. A flavor of XML, TEI has been used in many humanities and social sciences disciplines, and it has a dedicated vocabulary for describing literary texts. TEI may be used to create digital editions, prepare texts for research, and preserve texts in a digital format.

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