Log in

Sign up for our mailing list!

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., 19-Sep-17
E.g., 19-Sep-17
October 21, 2013
Coordinator:
Leora Lawton

NIH requires that all peer-reviewed articles published since April 2008 be made publicaly available through its PubMed Central repository.  While the basic premise is simple – taxpayer funded research should be available to all – the logistics are not.

Workshop: Weighting
October 17, 2013
Coordinator:
Thomas L. Piazza

This workshop will cover the main types of weighting, to correct for bias in sample data. These types of weights are designed to compensate for different selection probabilities, to correct for non-response, and to post-stratify data to match the demographic distributions found in census data or other criterion distributions.

September 26, 2013
Coordinator:
Thomas L. Piazza

SDA is a set of programs for the documentation and Web-based analysis of survey data.  It is a useful tool for the online exploration and analysis of survey data.  This workshop will illustrate the basic features of SDA, using several of the many large datasets available for online analysis with SDA.

September 23, 2013
Coordinator:
Becky Armstrong

This workshop provides an introduction of historical research cases and ethical principles, and a discussion of federal regulations overseeing human subjects research.

September 16, 2013
Coordinator:
Bill Mitchell

Just as being able to write grammatically correct sentences doesn't make one a good writer, being able to write good code takes a little thought and practice.  This workshop will cover good coding practice, style conventions, and tips on how to write and use code efficiently, with an emphasis on writing code that other people (like Future You) will need to comprehend.

September 5, 2013
Coordinator:
David Eifler

Zotero is a powerful, open-source reference management tool. For the first hour, the presenter will demonstrate the key Zotero features: importing and creating new references; managing references; inserting citations into a manuscript; and formatting bibliographies in hundreds of styles. The demonstration will be followed by a 30-minute question-and-answer session.

Workshop: test training
August 28, 2013
Coordinator:
Jon Stiles
August 19, 2013 to August 22, 2013
Coordinator:
Dav Clark

This Python workshop is pitched at newcomers who need an "on-ramp" to scientific computing. We'll complete 8 sessions over 4 days.

August 1, 2013
Coordinator:
Aditi Muralidharan

This 4-hour workshop on "natural language processing" or "text mining” will explore the use of Python to extract meaningful information in text collections: interview transcripts, letters, pamphlets, newspaper articles, etc. Basic knowledge of python is required.

July 31, 2013
Coordinator:
Mary W. Elings

This workshop will introduce participants to metadata used by libraries, archives, and museums to describe and encode online digital collections. We will look at why and how metadata is used, and explore what lies behind digital research collections online. No prior experience required.

July 24, 2013
Coordinator:
Harrison Dekker

TBA 

It is recommended to have some familiarity with database design or to have taken Introduction to Databases in advance.

July 23, 2013
Coordinator:
Clara Cohen

This 2-hour workshop introduces the basics of data analysis in R, a powerful and free open-source programming environment. You will learn the core properties of the R programming language through step-by-step examples and scaffolded exercises with data provided by the instructor.

July 8, 2013 to July 10, 2013
Coordinator:
Christopher Church

Using Open Office Base, this two-meeting workshop will focus on the practical use of relational database software for conducting primary source research. The workshop series is be geared toward beginners to database software and will include the basics of relational databases; how to plan and organize a relational database; how to work with forms and import your data; and how to query your data.

July 8, 2013
Coordinator:
Clara Cohen

This 2-hour workshop introduces the basics of data analysis in R, a powerful and free open-source programming environment. You will learn the core properties of the R programming language through step-by-step examples and scaffolded exercises with data provided by the instructor.

Workshop: Intro to R
May 1, 2013
Coordinator:
Clara Cohen

This 2-hour workshop introduces the basics of data analysis in R, a powerful and free open-source programming environment. You will learn the core properties of the R programming language through step-by-step examples and scaffolded exercises with data provided by the instructor.

April 26, 2013
Coordinator:
Noli Brazil, Savet Hong

Regression analysis is a standard statistical method used in most analyses of social science data. This workshop will provide an overview of regression analysis, structured for individuals with knowledge of basic statistics but little to no background in regression. Regression procedures will be implemented in R.

April 25, 2013 to May 2, 2013
Coordinator:
Melinda Fricke

Aimed at students with no background knowledge in programming languages or statistics. Participants will be led step-by-step through the basics of using R for data exploration and analysis, with an emphasis on developing core skills that can be ported over to one's own data sets. NOTE: This is a TWO-part workshop.

April 24, 2013
Coordinator:
Noli Brazil, Savet Hong

Regression analysis is a standard statistical method used in most analyses of social science data. This workshop will provide an overview of regression analysis, structured for individuals with knowledge of basic statistics but little to no background in regression. Regression procedures will be implemented in Stata.

April 17, 2013
Coordinator:
Noli Brazil

This workshop will provide a hands-on introduction to Stata.  Participants will gain facility in using Stata for basic data management and analysis, which includes reading in data, data cleaning and using Stata's built in commands to run basic statistical analyses, including descriptive statistics, generating frequencies and running hypothesis tests.

Pages