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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., 28-Nov-20
E.g., 28-Nov-20
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

November 17, 2020 to November 19, 2020
Author:
Hikari Murayama, Drew Hart

Geospatial data are an important component

Workshop: Tableau Bootcamp
November 17, 2020
Author:
Kari Peterson, Juliet Bonczkowski

*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 16, 2020 to November 20, 2020
Author:
Aniket Kesari, 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.*

 

November 13, 2020
Author:
Jae Yeon Kim

Overview

November 10, 2020
Author:
Rachael Samberg

This training will help you navigate the copyright, fair use, and usage rights of including third-party content in your digital project.

November 9, 2020
Author:
Jae Yeon Kim

Overview

November 6, 2020
Author:
Jae Yeon Kim

Overview

November 3, 2020 to November 12, 2020
Author:
Aniket Kesari, Avery Richards, 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!

November 3, 2020 to November 17, 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 2, 2020
Author:
Renata Barreto

Overview

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

Workshop: SQL for R Users
November 2, 2020
Author:
Jae Yeon Kim

SQL is a viable option for anyone working with a large dataset. For this reason, SQL is a must-skill if you intend to work with Big Data or data-intensive organizations. The workshop aims to demonstrate that SQL is easy to learn, if you already know how to use DPLYR package in R. This will be a very hands-on workshop with live coding.

 

October 30, 2020
Author:
Renata Barreto

This workshop provides a brief history of Artificial Neural Networks (ANN) and an explanation of the intuition and concepts behind them with few mathematical barriers. Participants will learn step-by-step construction of a basic ANN. Also, you will use the popular scikit-learn Python library to implement an ANN on a classification problem.

October 28, 2020
Author:
David Harding

Join David Harding, Professor of Sociology and Faculty Director of D-Lab at UC Berkeley, for a discussion on how to successfully apply for qualitative research grants from funders with positivist inclinations. Prof.

October 26, 2020
Author:
Aaron Culich, Patty Frontiera, Rick Jaffe

October 26, 2020
Author:
Aniket Kesari

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:

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