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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., 21-Sep-19
E.g., 21-Sep-19
December 6, 2013
Author:
Cyrus Dioun

This workshop will familiarize attendees with the Undergraduate Research Assistanceship Program (URAP) and the benefits and challenges of working with undegraduate research assistants. Expect to learn about:

URAP logistics and bureaucracy

Recruiting undergraduates

Which projects/tasks are (in)/appropriate for undergraduate research assistants

December 5, 2013

The D-Lab invites graduate students from the Haas School of Business to an information session. The D-Lab provides students with the resources to learn how to collect, manage, process, analyze and store both quantitative and qualitative data.

December 5, 2013

The D-Lab invites students from the Berkeley School of Public Health to a lunchtime info session. The D-Lab provides students with the resources to learn how to collect, manage, process, analyze and store both quantitative and qualitative data.

December 3, 2013
Author:
Benjamin Bartlett

Web scraping is a powerful and increasingly important tool for social science researchers. It allows users to automatically download the content of websites as plain text files for use in data and text analysis. This workshop series is a thorough introduction to web scraping using the python package scrapy.

November 23, 2013 to November 24, 2013
Author:
Lynne Williams, Matt Davis

UPDATE: Please see the course website here. Materials for the site are in a GitHub repository.

Our goal is to help scientists and engineers become more productive by teaching them basic computing skills like:

November 21, 2013

The D-Lab invites students from Berkeley Law's program in Jurisprudence and Social Policy to a lunchtime info session. The D-Lab provides students with the resources to learn how to collect, manage, process, analyze and store both quantitative and qualitative data.

November 19, 2013
Author:
Allison Bloodworth
D-Lab is hosting a focus group to scope out grad students' research data infrastructure needs. This is a joint effort of UC Berkeley's Research Information Technologies & Educational Technologies groups. Led by Allison Bloodworth (ETS), the focus group's goal is to to understand student needs around research data management, research computing, and learning environments.
November 19, 2013
Author:
Jeffery Loo, Erik T. Mitchell

The safe storage, careful documentation, and open sharing of data are important research objectives.  They are foundational data management practices for maximizing the impact of your work and meeting the data requirements of national funding agencies.  

November 19, 2013
Author:
Joshua Bloom

Info session co-sponsored by D-Lab and the School of Information:

November 19, 2013
Author:
Chris Krogslund

This 2-hour workshop is geared towards users with previous knowledge of Stata looking to carry out data analysis in R.  It will offer participants a side-by-side comparison of how the same analytical procedures can be implemented in both environments.  Topics to be covered include data manipulation, summary statistics, classical hypothesis tests, regression, regression diagnostics, and plotting

November 12, 2013
Author:
Karthik Ram

This 3-hour workshop is geared towards R users hoping to learn some advanced skills. I will introduce participants to various ways to deal with large datasets (using dplyr, data.table, RMySQL), ways to acquire data from the web, and also how to build, document, test and deploy your own R packages. Previous experience with R is assumed.

November 7, 2013
Author:
Thomas L. Piazza

This workshop will cover the basic principles and methods of sampling.  Topics will include a discussion of the various types of samples,  the creation of sampling frames, the use of stratification, and basic methods of selecting samples.  Determining an appropriate sample size will also be discussed.

November 5, 2013 to November 6, 2013
Author:
Rochelle Terman

This workshop will teach participants how to build a visually appealing, easy-to-use personal website with Dreamhost and Wordpress. Particular attention will be paid to building a personal academic site, such as those widely desired by graduate students entering the job market. 

November 5, 2013
Author:
Leora Lawton

There is an unfortunate common perception that "I've taken a survey so I can write one."  Yet there is a definite science to writing and fielding a survey that will result in high quality data.  Over one hundred years of experimental design research has informed questionnaire design and field work.  Books, scholarly articles, government working papers and conference presentations contain a weal

November 5, 2013
Author:
Chris Krogslund

This 2-hour workshop is geared towards applied researchers looking to use R for basic data analysis.  It will introduce participants to the basics of data manipulation (notably using plyr and reshape2), regression, and regression diagnostics.

October 24, 2013 to October 31, 2013
Author:
Zawadi Rucks-Ahidiana

This two-part series covers 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.

Workshop: Graphics in R
October 22, 2013
Author:
Chris Krogslund

This 2-hour workshop will provide a comprehensive overview of graphics in R.  Participants will learn how to construct, customize, and export a variety of plot types using base graphics, lattice, and ggplot2.  Previous experience with R is assumed.  

October 21, 2013
Author:
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
Author:
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
Author:
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.

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