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-Oct-19
E.g., 19-Oct-19
October 18, 2019
Author:
Drew Hart

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.

October 18, 2019
Author:
Drew Hart

Raster data are used to represent geographic phenomena that are present and can be measured anywhere in a study area, like elevation, temperature, rainfall, land cover, soil type, etc. These data are a valuable resource for social scientists, planners, and engineers as well as natural scientists. This workshop will introduce basic raster concepts and methods for working with raster data in R.

October 17, 2019
Author:
Evan Muzzall, Chris Kennedy

This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, and superlearner algorithms.

October 17, 2019
Author:
Drew Hart

Geospatial data are an important component of social science and humanities data visualization and analysis. The R programming language is a great platform for exploring these data and integrating them into a research project. 

Geospatial Data in R, part 2: Geoprocessing and analysis

October 16, 2019
Author:
Ilya Akdemir, Geoff Bacon, Adam G. Anderson

The Computational Text Analysis Working Group (CTAWG) features demos, tutorials, and ongoing projects through which we are learning to use an array of computational text analysis approaches including: topic modeling, TF-IDF, dictionary methods, supervised machine learning, cosine similarity scores, words-to-vectors, grammar parsing, regular expressions, and more.

October 16, 2019
Author:
Cherise McBride

The power and learning in social media working group is an interdisciplinary group that exists to support researchers, practitioners, artists and anyone else interested in digital technologies, sociocultural dimensions of learning, and critical race perspectives on social media activity.

October 16, 2019
Author:
Hero Ashman

This three-part series will cover the following materials:

Part 1:  Introduction

October 15, 2019
Author:
Afrah Tahir, Lina Kamil

The Somali, Ethiopian, Eritrean, South Sudanese, Sudanese Student Association (SEE§A) (formerly as Horn of Africa Student Association) is a student-based organization that focuses on the further academic, professional, social, and cultural advancement of Somali, Ethiopian, Eritrean, South Sudan and Sudanese identifying students on the University of California, Berkeley campus.

October 15, 2019
Author:
Evan Muzzall, Chris Kennedy

This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, and superlearner algorithms.

October 15, 2019
Author:
Drew Hart

Geospatial data are an important component of social science and humanities data visualization and analysis. The R programming language is a great platform for exploring these data and integrating them into your research. 

Geospatial Data in R, part I: Getting started with spatial data objects

October 11, 2019
Author:
Pelagie Elimbi Moudio

This workshop will be rescheduled to a later date. Please check the calendar for updates!

October 10, 2019

(add description here)

October 10, 2019
Author:
Aubrey Ross

The Berkeley Undergraduate Digital Humanities Association (BUDHA) is a diverse community of students, faculty, and staff on the UC Berkeley campus that connects undergraduates with the emerging interdisciplinary field of Digital Humanities (DH).

October 10, 2019
Author:
Stacy Reardon, Adam G. Anderson

The Berkeley Digital Humanities Working Group began in 2011 as a place to facilitate interdisciplinary conversations around topics in the Digital Humanities (broadly defined).  We welcome participants from all disciplinary backgrounds, beginners and experts in digital skills, students, faculty, and staff.  The agenda for our biweekly meetings is participant driven, and we typically hold a varie

October 10, 2019
Author:
Sean Freeder

This workshop will be rescheduled to a later date. Please check the calendar for updates!

October 10, 2019
Author:
Simal Ozen Irmak

This workshop will be rescheduled to a later date. Please check the calendar for updates!

October 8, 2019
Author:
Afrah Tahir, Lina Kamil

The Somali, Ethiopian, Eritrean, South Sudanese, Sudanese Student Association (SEE§A) (formerly as Horn of Africa Student Association) is a student-based organization that focuses on the further academic, professional, social, and cultural advancement of Somali, Ethiopian, Eritrean, South Sudan and Sudanese identifying students on the University of California, Berkeley campus.

October 8, 2019
Author:
Rachel Roberson

The Critical University Studies (CUS) working group convenes and cultivates a critical scholarly community that contends with issues of power, race, and gender in higher education.

October 4, 2019
Author:
Pelagie Elimbi Moudio

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.

In this workshop, we'll work with example data and go through the various steps you might need to prepare data for analysis.

We plan to cover:

Working Group Session: Data Scholars: Discovery
October 3, 2019

Pages