*NOTE: Due to limited resources and staff, we are only able to offer workshops to UC Berkeley affiliates, partners (LBL, UCSF), and invi
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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.
October 22, 2020
Author:
Renata Barreto
Workshop: Advanced Data Wrangling in R: Part 1-2
October 22, 2020 to October 23, 2020
Author:
Jae Yeon Kim
*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.*
Working Group Session: Computational Text Analysis Working Group (CTAWG)
October 21, 2020
Author:
Ilya Akdemir
Speakers: Professor Tejas N. Narechania, Ankur Jain, Natasha Batra, Amanda Jorgensen
Workshop: Finding Health Statistics and Data
October 20, 2020
Author:
Michael Sholinbeck
Participants in this workshop will learn about some of the issues surrounding the collection of health statistics, and will also learn about authoritative sources of health statistics and data. We will look at tools that let you create custom tables of vital statistics (birth, death, etc.), disease statistics, health behavior statistics, and more. The focus will be on U.S.
Workshop: Tableau Bootcamp
October 15, 2020
Author:
Juliet Bonczkowski, Kari Peterson
Add data visualization to your communication toolbox without learning to code. Tableau cuts down the time you need to spend creating visualizations through an intuitive graphical user interface. Learn the basics in this hands-on workshop.
Workshop: Web Platforms for Digital Projects
October 13, 2020
Author:
Stacy Reardon
How do you go about publishing a digital book, a multimedia project, a digital exhibit, or another kind of digital project? In this workshop, we'll take a look at use cases for common open-source web platforms WordPress, Drupal, Omeka, and Scalar, and we'll talk about hosting, storage, and asset management. There will be time for hands-on work in the platform most suited to your needs.
Working Group Session: Securing Research Data
October 12, 2020
Author:
Aaron Culich, Patty Frontiera, Rick Jaffe
Workshop: Census Data Wrangling & Mapping in R
October 8, 2020
Author:
Drew Hart, Hikari Murayama
Overview Since 1790, the US Census has been THE source of data about American people, providing valuable insights to social scientists and humanists. Mapping these data by census geographies adds more value by allowing researchers to explore spatial trends and outliers. This workshop will introduce three key packages for streamlining census data workflows in R:
Workshop: Python Fundamental: Parts 1-4
October 6, 2020 to October 15, 2020
Author:
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.
Workshop: R Fundamentals: Part 1 - 4
October 5, 2020 to October 15, 2020
Author:
Jae Yeon Kim
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: Intro to Artificial Neural Networks
October 2, 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 1, 2020 to October 2, 2020
Author:
Aniket Kesari
This workshop introduces the basic concepts of Deep Learning - the training and performance evaluation of large neural networks, especially for image classification, natural language processing, and time-series data. Like many other machine learning algorithms, we will use deep learning algorithms to map input data to their appropriately classified outcome labels.
September 29, 2020
Author:
Pelagie Elimbi Moudio
*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: Intro to Machine Learning in R: Part 1-2
September 28, 2020 to September 29, 2020
Author:
Jae Yeon Kim, Aniket Kesari
*NOTE: Due to limited res
Workshop: Introduction to Qualtrics
September 24, 2020
Author:
Dan Stein, Alexander Sahn
*NOTE: Due to limited res
Workshop: Advanced Data Wrangling in R: Part 1-2
September 23, 2020 to September 25, 2020
Author:
Jae Yeon Kim, Aniket Kesari
*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 Visualization
September 23, 2020
Author:
Alexander Sahn
This workshop will provide an introduction to graphics in R with ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data.
Workshop: Text Analysis Fundamentals: Part 1-3
September 22, 2020 to September 25, 2020
Author:
Renata Barreto, Aniket Kesari
*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: Geospatial Data in R: Part 1-3
September 22, 2020 to September 29, 2020
Author:
Drew Hart
*NOTE: Due to limited resources and staff, we are only able to offer workshops to UC Berkeley affiliates, partners
Workshop: Introduction to Pandas
September 22, 2020
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.
