Overview
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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.
Workshop: R Functional Programming
November 24, 2020
Author:
Jae Yeon Kim
Workshop: Intro to Machine Learning in R Part 1-2
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.
Workshop: Python Introduction to Machine Learning
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
Workshop: Advanced Data Wrangling in R
November 18, 2020 to November 20, 2020
Author:
Jae Yeon Kim, Aniket Kesari
Overview
Workshop: GeoPandas: Parts 1 & 2
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
Workshop: Text Analysis Fundamentals: Part 1-3
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.*
Workshop: R Functional Programming
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.
Workshop: R Package Development
November 9, 2020
Author:
Jae Yeon Kim
Overview
Workshop: R Project Management
November 6, 2020
Author:
Jae Yeon Kim
Overview
Workshop: R Fundamentals: Part 1 - 4
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!
Workshop: Python Fundamental: Parts 1-4
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
Workshop: Introduction to Bash + Github
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.
Workshop: Securing Research Data Working Group
October 26, 2020
Author:
Aaron Culich, Patty Frontiera, Rick Jaffe
Workshop: Introduction to Pandas
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:
