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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.
March 8, 2017
Workshop: Stata FUN!damentals: Part 2
March 8, 2017
Author:
Isabelle Cohen
This three-part series will cover the following materials:
Part 1: Introduction (Wednesday, March 1)
Workshop: Introduction to GIS in R
March 7, 2017
Author:
Drew Hart, Chris Muller
This two-hour course will review the fundamental concepts of GIS, demonstrating them through basic mapping and analysis of a variety of spatial datasets.
Workshop: R FUN!damentals: Part 2
March 7, 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!
Workshop: Weighting Data
March 7, 2017
Author:
Thomas L. Piazza
This workshop will cover the main types of weighting, to correct for bias in sample data.
Workshop: Python FUN!damentals: Part 2
March 6, 2017
Author:
Natalie Ahn
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:
March 6, 2017
Author:
Evan Muzzall
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.
Workshop: Data Organization in Stata
March 3, 2017
Author:
Isabelle Cohen
This workshop will introduce participants to the basics of data and do-file organization to make working in Stata easier. By the end of the workshop, participants will have an understanding of the importance of data organization, and have seen examples of potential structures for how to organize data files, do files, and other documentation.
March 3, 2017
Author:
Patty Frontiera
This workshop provides an introduction to working with and visualizing spatial data in R. We give an overview of spatial data types and methods for importing and creating spatial data. Participants will learn the basic tools for plotting data on a map and customizing the symbology. We will also introduce methods for defining and transforming coordinate reference systems.
Workshop: QMG Presents: A Qualitative Social!
March 2, 2017
**********Please note: This event has been canceled.**********
Come enjoy refreshments and informal networking with other qualitative scholars. Drop in whenever you'd like!
March 2, 2017
Author:
Deepa Kalpathi
Tableau is a data analysis software suite that creates data driven visualizations without programming. The software works with a variety of input data sources and format sources. Tableau output graphics can be combined together to create interactive dashboards that can be easily shared online. Come learn how to get started with this powerful, widely used visualization tool!
Workshop: Workshop on Automating Data Operations
March 1, 2017
Author:
Saket Saurabh
This hands-on workshop will demonstrate ways to automate data operations--connect, manage, monitor, and transform data quickly--so you can increase analytical productivity and focus on machine learning.
Prior knowledge: Familiarity using and manipulating large data sets for machine learning or advanced analytics.
Workshop: Stata FUN!damentals: Part 1
March 1, 2017
Author:
Saika Belal
This three-part series will cover the following materials:
Part 1: Introduction (Wednesday, March 1)
Workshop: NLP with NLTK in Python
March 1, 2017
Author:
Natalie Ahn
This workshop addresses various topics in Natural Language Processing, primarily through the use of NLTK. We'll work with a corpus of documents and learn how to identify different types of linguistic structure in the text, which can help in classifying the documents or extracting useful information from them.
March 1, 2017
Author:
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.
Workshop: R FUN!damentals: Part 1
February 28, 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!
February 28, 2017
Author:
Quinn Dombrowski
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.
Workshop: Python FUN!damentals: Part 1
February 27, 2017
Author:
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:
Workshop: R Graphics with ggplot2
February 27, 2017
Author:
Evan Muzzall
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.
Workshop: Python Fundamentals: Part 4
February 24, 2017
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.
