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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-Jul-17
E.g., 24-Jul-17
June 23, 2014 to June 27, 2014
Coordinator:
John Fox

D-Lab will be hosting two workshops of the ICPSR Summer Program in Quantitative Methods of Social Research. Payment and registration are handled by ICPSR.

June 10, 2014 to July 8, 2014
Coordinator:
Leora Lawton

This workshop will be open to anyone interested in having the guidance, feedback and structure for writing a grant. Potential participants could be faculty who have not written an NIH grant before, postdocs or adjunct faculty, advanced graduate students, or even early stage graduate students who want to put together a dissertation grant.

June 4, 2014 to June 5, 2014
Coordinator:
Zawadi Rucks-Ahidiana

This two part series includes how to organize and analyze qualitative data, and how to use Atlas.TI in the process. Researchers new to qualitative data analysis are encouraged to attend both sessions. More experienced researchers may choose to attend the second session only to learn more advanced techniques with Atlas.TI.

June 3, 2014 to June 5, 2014
Coordinator:
Pat Hastings

The workshop will cover (in a teaching computer lab environment, using the the General Social Survey as a common dataset): Getting data into StataStata specific tools and resources (do files, logs, help files, etc)Coding and cleaning data (making new variables from old variables; labeling variables and values, etc) Collapsing dataDescriptive statistics (tables and graphs)CrosstabsCorrelation ta

June 3, 2014 to June 4, 2014
Coordinator:
Laura Nelson

This INTENSIVE course will give users a familiarity with various automated text analysis approaches including classification (machine learning), clustering/topic modelling, dimension reduction, and regression.

The INTENSIVE will begin with a theoretical explanation of each approach and then demonstrate each in R, finishing with some practice work for participants. 

Workshop: R Intensive
June 3, 2014 to June 4, 2014
Coordinator:
Chris Krogslund

This 2 day intensive workshop will cover basic beginner and intermediate concepts, commands and analysis in R.

May 28, 2014 to May 29, 2014
Coordinator:
Zawadi Rucks-Ahidiana

This two part series includes how to organize and analyze qualitative data, and how to use NVivo in the process. Researchers new to qualitative methods are encouraged to attend both sessions. More experienced researchers may choose to attend the second session only to learn more advanced techniques with NVivo.

May 27, 2014 to May 30, 2014
Coordinator:
Dav Clark

Get an orientation to the basics of working with social science data in python. We'll start from the ground up, from the basics of naming variables, making decisions, and repeating operations to making informative (or at least fun) pictures on your screen.

May 27, 2014
Coordinator:
Dav Clark

NOTE CHANGE OF TIME!

An intro to the basics that instructors often assume you know, but probably never had good instruction on! After this course, you should be able to more easily start learning to program (i.e., in R or python), or communicate better with your collaborators who are programming.

April 28, 2014
Coordinator:
Pat Hastings

This very basic STATA workshop will cover:

April 22, 2014
Coordinator:
Nick Adams

This orientation workshop is designed to familiarize researchers with the D-Lab and the range of social science methods and software it supports through training and consultation.

April 18, 2014 to April 21, 2014
Coordinator:
Dr. Michael Samuel

This 2-part workshop will cover theory and techniques for maximizing the effectiveness of figures used for visualizing information. Rather than teaching any particular visualization software, this course will teach students about the "nuts and bolts" of effective data visualization. Dr.

Workshop: Webscraping
April 16, 2014
Coordinator:
Geoff Boeing

This workshop will cover how to create, customize, and run a web scraper using python and scrapy.  We will learn how to locate and extract data from HTML web pages using the Document Object Model.  Finally, we will learn how to visualize the scraped urban data spatially with QGIS.

April 15, 2014
Coordinator:
Carlos Sandoval

Using Grasshopper and Finches, a plugin for Grasshopper, we will experiment with importing GIS shp files into Grasshopper for further manipulation. We will import and manipulate shp files, create design proposals based on local conditions, and analyze data by overlaying datasets in 3D and 4D.

April 10, 2014
Coordinator:
Susan Powell

In this workshop we will learn about the basic concepts involved in georeferencing and get some hands-on experience with the process in QGIS, a free, open-source GIS tool. Georeferencing involves “spatializing” scanned maps or aerial imagery so that they can be used in a GIS. We will cover the basics of topics such as projections, coordinate systems, and the theory behind georeferencing.

Workshop: Education Data
April 9, 2014
Coordinator:
Nora Broege

This workshop will provide an introduction to the myriad of education data sources available for analysis. Discussion will include national and international data that are both public- and restricted-use. 

April 8, 2014
Coordinator:
Carlos Sandoval

In this workshop, we will use grasshopper, a graphical scripting interface for Rhino, as an engine to parse and related diverse data sets with each other, and create a wide range of data visualizations. Emphasis will be placed on the interdisciplinary applications for data visualization.

April 6, 2014
Coordinator:
Carlos Sandoval

In this intensive workshop we will introduce the general workflow in grasshopper, a graphical scripting interface for Rhino. We will introduce the general commands and data-types, list and data management in Grasshopper, and an overview of computational geometry.

April 3, 2014
Coordinator:
Geoff Boeing

This is an overview presentation of using web scraping for urban data.  How does web scraping work and what are the issues surrounding it?  I will present on some of my prior work creating, customizing, and running a scraper.  Finally, I will demonstrate how to visualize the scraped data. This is a presentation talk of web scraping and does not require attendees to bring a computer.

April 1, 2014
Coordinator:
Carlos Sandoval

In this presentation, we will introduce Grasshopper, a graphic algorithmic interface. Originally conceived as a tool for designers, due to its ease of learning and capability to handle data, its potential goes beyond the design domain. We will show usage examples that can be related to a number of fields, and stress an interdisciplinary approach to data analysis and data visualiztion.

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