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., 15-Oct-18
E.g., 15-Oct-18
October 21, 2015
Coordinator:
Kelly Clonts

This workshop will focus on becoming familiar with searching and downloading the data published by the US Census Bureau via Factfinder and Social Explorer. This will include understanding the data format, Census region mapping, the different surveys used in the US Census, and statistical concept of sampling error in the American Community Survey.

October 20, 2015
Coordinator:
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.

October 20, 2015
Coordinator:
Nathan Jones

Qualtrics is a powerful online tool available to Berkeley community members that can be used for a range of data collection activities.  Primarily, Qualtrics is designed to make web surveys easy to write, test, and implement, but the software can be used for data entry, training, quality control, evaluation, market research, pre/post-event feedback, and other uses with some creativity.  This ov

October 19, 2015
Coordinator:
Jon Stiles

Although most researchers associate the Census Bureau with the Census of Population and Housing conducted every ten years, the Census Bureau also conducts other demographic surveys - like the Current Population Survey (CPS), the Survey of income and Program Participation (SIPP), and the American Housing Survey, as well economic surveys of firms and establishments, including the Economic Census

October 19, 2015
Coordinator:
Andy Eschbacher

This workshop is geared towards social science and digital humanities researchers who have data - scanned images, maps, and spreadsheets, for example, that they want to display on a map. We will discuss and demonstrate how to: 

October 16, 2015
Coordinator:
Andrew Chong

The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying, analyzing, and publishing data in R.

Day 1 (basics of R)

October 15, 2015

Join the Qualitative Methods Group (QMG) for a conversation with Dr. Calvin Morrill on mixed methods research.  Dr. Morrill will be sharing his experience with triangulating data across ethnographic, interview, survey, network analysis, and experimental methods.

October 15, 2015
Coordinator:
Michael Sholinbeck

Participants in this workshop will learn about some of the issues surrounding the collection of health statistics, and will also learn about authoritative sources of health statistics and data. We will look at tools that let you create custom tables of vital statistics (birth, death, etc.), disease statistics, health behavior statistics, and more.

October 14, 2015
Coordinator:
Juan Shishido

Python has several visualization libraries that offer various plot types and customization options. Some are focused on general plotting, while others are built for specific purposes, such as statistical data visualization. In this workshop, we'll cover both Matplotlib and Seaborn.

October 14, 2015
Coordinator:
Andrew Chong

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 R or python), follow instructions and documentation online (e.g.

October 13, 2015
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.

October 9, 2015
Coordinator:
Zawadi Rucks-Ahidiana

Coding is done, now what? You’ve finished coding your qualitative data and now it’s time to start the “analysis” process. Where do you start? Through this interactive workshop session, qualitative researchers will learn several approaches to transition from coding to analysis. Researchers in all phases of the qualitative research process are welcome to attend.

October 9, 2015
Coordinator:
Chris Kennedy

This is the second workshop in a 3-part Stata series offered at the D-Lab that includes: 1) Intro to Stata, 2) Data Analysis in Stata and 3) Stata Programming.

October 8, 2015
Coordinator:
Andrew Bertoli

Day 4 (functions and packages)

October 6, 2015
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 ArcGIS, a common GIS software platform. 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.

October 5, 2015 to October 19, 2015
Coordinator:
Stephanie Moore

Drupal is a powerful, open-source content management system (CMS) that provides a flexible platform for websites and web-based research projects. This workshop will cover the basics of how Drupal works, covering essential site building topics such as fields, content types, users, menus, blocks taxonomies, and views. The material covered in the workshop can be applied to administrative (e.g.

October 2, 2015
Coordinator:
David Drukker

Writing a Stata command for methods that you use or develop can broaden dissemination of your research. Stata’s Director of Econometrics David Drukker will lead this one-day course that shows how to write a Stata estimation command.No Stata or Mata programming experience is required, but it does help.

October 1, 2015
Coordinator:
Dillon Niederhut

Day 3 (analyzing data)

Students will be introduced to the principles behind the grammar of graphics and the general linear model. Students will understand the implementation of plotting in R. Students will be able to explore, summarize, and analyze data using R's implementation of exploratory and inferential data analysis.

October 1, 2015
Coordinator:
Dav Clark

Dav Clark invites you to join his Hacking Measurement seminar for a presentation by the global tech company Civil Maps on their 3D mapping technology.

September 30, 2015
Coordinator:
Juan Shishido

"pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive." It enables "doing practical, real world data analysis in Python."

Pages