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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., 18-Jan-21
E.g., 18-Jan-21
January 15, 2021
Author:
Donald Max Ziff

Overview

An introduction to programming basics in Bash and GitHub that are often assumed, but that you might have never had good instruction on!

January 14, 2021
Author:
Claudia von Vacano

Qualitative Data Analysis (QDA) software is used to organize and structure data, codes, memos, and other components of a qualitative study, as well as support engagement in analysis. This workshop is for qualitative researchers, new and established, interested in learning about MAXQDA, a software for which D-Lab provides substantive support. Assuming no prior knowledge in MAXQDA, this workshop will introduce participants to the website where the software can be downloaded and numerous training materials can be accessed.

January 13, 2021
Author:
Dan Stein

*NOTE: Due to limited resources and staff, we are only able to offer workshops to UC Berkeley affiliates, partners (LBL, UCSF), and invited guests. We respectfully ask you not to register if you are not affliliated with UCB, LBL or UCSF.*

Overview

January 12, 2021 to January 13, 2021
Author:
Hikari Murayama

Geospatial data are an important component of social science and humanities data visualization and analysis.

January 12, 2021 to January 15, 2021
Author:
Aniket Kesari, Donald Max Ziff, Renata Barreto

Overview

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.

January 12, 2021 to January 14, 2021
Author:
Renee Starowicz, Hero Ashman

January 12, 2021 to January 15, 2021
Author:
Evan Muzzall

Overview

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 for free at our R workshops!

January 11, 2021
Author:
Leora Lawton

This workshop will be open to anyone interested in having the guidance, feedback and structure for writing a grant. Potential participants could be faculty who have not written an NIH grant before, postdocs or adjunct faculty, advanced graduate students, or even early stage graduate students who want to put together a dissertation grant.

December 11, 2020
Author:
Aniket Kesari

Overview

An introduction to programming basics in Bash and GitHub that are often assumed, but that you might have never had good instruction on!

December 8, 2020 to December 10, 2020
Author:
Drew Hart
December 7, 2020 to December 9, 2020
Author:
Renee Starowicz, Hero Ashman, Isabelle Cohen

Overview

This three-part series will cover the following materials:

December 7, 2020 to December 10, 2020
Author:
Avery Richards, Jae Yeon Kim, Aniket Kesari

Overview

December 7, 2020 to December 9, 2020
Author:
Hikari Murayama, Drew Hart

Geospatial data are an important component of social science and humanities data visualization and analysis.

December 7, 2020 to December 10, 2020
Author:
Evan Muzzall

Overview

November 30, 2020
Author:
Donald Max Ziff

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:

November 24, 2020
Author:
Jae Yeon Kim

Overview

November 23, 2020 to November 24, 2020
Author:
Jae Yeon Kim, Aniket Kesari

Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data.

November 23, 2020 to November 24, 2020
Author:
Aniket Kesari, Renata Barreto
Overview
November 19, 2020
Author:
Renata Barreto

*NOTE: Due to limited resources and staff, we are only able to offer workshops to UC Berkeley affiliates, partners (LBL, UCSF), and invited guests. We respectfully ask you not to register if you are not affliliated with UCB, LBL or UCSF.*

Overview

November 18, 2020 to November 20, 2020
Author:
Jae Yeon Kim, Aniket Kesari

Overview

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