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., 24-Sep-17
E.g., 24-Sep-17
April 3, 2017
Coordinator:
Daniela Vargas Mallard

This three-part series will focus on how to set up database-like structures, navigate them, create models and build various types of reports in Microsoft Excel. By the end of this series, participants will be able to sort and look for information within large datasets, use character-based functions, pivot tables, and build basic financial models.

March 24, 2017
Coordinator:
Scott McGinnis, Camille Villa

This workshop will cover OpenRefine, a very useful open source, point-and-click interface for cleaning and standardizing data. Examples of OpenRefine's capabilities include: correcting variations in spelling, standardizing date formats, and detecting duplicate values.

Prior knowledge: No prior knowledge is required, though a familiarity with spreadsheets is helpful.

March 23, 2017
Coordinator:
Kenly Brown

This workshop covers how to organize and analyze qualitative data in Dedoose. The training will outline the key decisions the researcher must make in the coding process, as well as teach attendees how to start a new Dedoose project, add codes and set up a code system, code data, add characteristics about data, run analysis tools such as queries, and explore data for further analysis.

March 22, 2017
Coordinator:
Ben Gebre-Medhin

In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification. We will use list comprehension to implement the dictionary method, using sentiment analysis as our example.

March 22, 2017
Coordinator:
Patty Frontiera

This introductory workshop is geared towards social scientists and digital humanitists who have data - spreadsheets, scanned maps, digital photos, etc -  that they want to display on a map. We explore these tasks in CARTO, a versatile web mapping and geospatial analysis tool.

March 21, 2017
Coordinator:
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!

March 20, 2017
Coordinator:
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.

March 20, 2017
Coordinator:
Ben Gebre-Medhin

This hands on workshop builds on part 2 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods. This workshop will cover a) vectorization and Document Term Matrices, b) weighting (tf-idf), and c) uncovering patterns using topic modeling.

March 17, 2017
Coordinator:
Deepa Kalpathi

**Please note: This workshop will be held at the Goldman School of Public Policy at 1893 Le Roy Avenue, Berkeley.**

March 17, 2017
Coordinator:
Chris Hench

This workshop will cover how to access databases via RESTful APIs using the Python programming language. Our main example will involve collecting data on news articles through the New York Times Article API.

March 17, 2017
Coordinator:
Patty Frontiera

This workshop will demonstrate the use of the ggplot2 and ggmaps packages for working with and visualizing geospatial data. Participants will learn how to plot points, line and polygon features on a map, customize symbology, and add reference data like Google Maps and OpenStreetMaps.  Geocoding place names and addresses with ggmaps will also be introduced.

March 16, 2017
Coordinator:
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.

March 15, 2017

Join us as Andrew Garrett discusses his research on linguistic and ethnographic sound recordings from early 20th century California.

March 15, 2017
Coordinator:
Isabelle Cohen

This three-part series will cover the following materials:

Part 1:  Introduction (Wednesday, March 1)

March 15, 2017
Coordinator:
Ben Gebre-Medhin

This hands on workshop goes through the common “preprocessing recipe” that is used as the foundation for a variety of other applications as well as some basic natural language processing techniques.  These include: a) digitization (utf 8), b) removal of stopwords, numbers, punctuation, c) tokenization, d) calculation of word frequencies / proportions, e) part of speech tagging, and f) concordan

March 15, 2017
Coordinator:
Susan Powell

This workshop will introduce two different web platforms for exploring and mapping U.S. demographic data: SimplyMap and PolicyMap. While there is some overlap between the different applications, each has its own strengths and unique features. For each platform we wil walk through a short demo, followed by some time to explore the data and visualization tools that each platform offers.

March 14, 2017
Coordinator:
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!

March 14, 2017

Interested in archival research? Did you know that UC Berkeley Libraries have more to offer than the Bancroft? Join us for a presentation and discussion with Christina Marino the Reference Archivist of the Environmental Design Archives and Jesse Silva the Federal Documents and Political Science Librarian.  

March 14, 2017
Coordinator:
Evan Muzzall

It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This workshop will introduce tools (notably dplyr and tidyr) that makes data wrangling and manipulation much easier. Participants will learn how to use these packages to subset and reshape data sets, do calculations across groups of data, clean data, and other useful stuff.

March 13, 2017
Coordinator:
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 3 Topics:

Pages