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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., 24-Nov-17
E.g., 24-Nov-17
September 13, 2017
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 and conceptual considerations regarding research, (b) qualitative methodologies and methods, and (c) ways in which technology can aid the qualitative research process.

September 13, 2017
Coordinator:
Alex Estes

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:

September 13, 2017
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.

September 12, 2017
Coordinator:
Quinn Dombrowski, Stacy Reardon

Getting research materials in a digital form that you can search and computationally analyze can be a time-consuming initial step in the research process. While Adobe Acrobat can do basic optical character recognition (OCR, transforming an image of a text into editable text), it performs poorly on documents with complex layouts or non-English text.

September 12, 2017
Coordinator:
Evan Muzzall

R FUN!damentals Part 3: Data Exploration and Analysis

September 11, 2017
Coordinator:
Evan Muzzall

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.

September 8, 2017
Coordinator:
Patty Frontiera

This introductory workshop is geared towards social scientists and digital humanitists who have data - spreadsheets, scanned maps, digital photos, etc -  that they want to display on a map. We explore these tasks in CARTO, a versatile web mapping and geospatial analysis tool.

September 7, 2017
Coordinator:
Isabelle Cohen

This three-part series will cover the following materials:

Part 1:  Introduction (Thursday, September 7)

September 7, 2017
Coordinator:
Evan Muzzall

R FUN!damentals Part 2: Subsetting and Reshaping

September 6, 2017
Coordinator:
Alex Estes

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:

September 5, 2017
Coordinator:
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!

September 1, 2017
Coordinator:
Samy Abdel-Ghaffar

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.

August 31, 2017
Coordinator:
Nancy Thomas, Patty Frontiera
August 22, 2017
Coordinator:
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.

August 22, 2017
Coordinator:
Zawadi Rucks-Ahidiana

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 MaxQDA project and engage in the following tasks: set up a database, use folders, add codes, add document variables, conduct queries, and explore data for further analysis.

 

August 21, 2017
Coordinator:
Kenly Brown

This workshop focuses on how to organize and code qualitative data in Dedoose. The training will outline key decisions researchers must make in the coding process, as well as reviews how to start a new Dedoose project and engage in the following tasks: add codes, set up a code system, code data, add characteristics about data, run analysis tools, and explore data for further analysis.

August 21, 2017
Coordinator:
Shelly Steward

Through this workshop, attendees will explore the process of moving from coded qualitative data to conclusions. Attendees will explore the logic of analysis, identification of relationships in data, and building of arguments with data.

Workshop: R Bootcamp 2017
August 19, 2017
Coordinator:
Christopher Paciorek

The workshop will be an intensive two-day introduction to R using RStudio. Topics will include

August 18, 2017
Coordinator:
Geoff Bacon

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.

August 18, 2017
Coordinator:
Ben Gebre-Medhin

Part 3: Unsupervised Approaches (12-2pm)

This hands on workshop builds on part 2 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods. This workshop will cover a) vectorization and Document Term Matrices, b) weighting (tf-idf), and c) uncovering patterns using topic modeling.

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