This workshop focuses on how to organize and code qualitative data in NVivo. The training will outline key decisions researchers must make in the coding process, as well as review how to start a new project and engage in basic tasks.
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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.
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.
This workshop will introduce students to the basics of designing a survey instrument using the Qualtrics platform, such as randomization and survey flow. We will also cover more advanced topics like implementing embedded data and using javascript, as well as tips and tricks on how to use your design to maximize the number of quality responses you get.
This three-part series will cover the following materials:
Part 1: Introduction
This workshop focuses on how to organize and code qualitative data in Dedoose. The training will outline key decisions researchers must make in the coding process, as well as review how to start a new project and engage in basic tasks.
Qualitative Data Analysis (QDA) software is used to organize and structure data, codes, memos, and other components of a qualitative study.
This workshop is for qualitative researchers, new and established, interested in learning about MAXQDA, a QDA software for which D-Lab provides substantive support.
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:
For this workshop, we'll provide an introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter (formerly IPython) notebook. The following plot types will be covered:
Join us in a talk with Dr. Agiatis Benardou about immersive experiences and difficult heritage.
Geospatial data are an important component of social science and humanities data visualization and analysis. This workshop will introduce basic methods for working with geospatial data in Python using GeoPandas, a relatively new Python library for working with geospatial data that has matured and stabilized in the last few years.
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.
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.
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.
Geospatial data are an important component of social science and humanities data visualization and analysis. This workshop will introduce basic methods for working with geospatial data in Python using GeoPandas, a relatively new Python library for working with geospatial data that has matured and stabilized in the last few years.
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.
The Black Recruitment and Retention Center is a student initiated, AND entirely a student ran organization that was founded in 1983 as direct response to the removal of Black students from affirmative action policies and programs, including admissions consideration, early academic outreach programs, and retention services.
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).
Research IT is happy to announce that campus has approved funding for the development of a new Secure Research Data and Compute (SRDC) Platform built for researchers working with highly sensitive data. The SRDC Platform will bring together High Performance Computing (HPC) nodes, virtual machines, and data storage in support of a wide range of research, disciplines, and workflows.
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
Join us with D-Lab Fellow, Aniket Kesari, as he shares about his research!