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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., 15-Jun-21
E.g., 15-Jun-21
May 14, 2021

Computational Text Analysis Working Group (CTAWG)

Title: [UCSF Bakar] Enhancing physicians’ prognoses using deep learning: an ergonomic UI to find similar patient groups and medical trends

May 7, 2021

Computational Text Analysis Working Group (CTAWG) 

Title: Returning to Foster Care: Revisited with Computational Text Analysis 

May 6, 2021
Author:
Anushah Hossain

Overview

May 4, 2021 to May 6, 2021
Author:
Hikari Murayama

Overview

May 3, 2021 to May 6, 2021
Author:
Grazia Rovelli, Renata Barreto

Overview

May 3, 2021 to May 7, 2021
Author:
Patty Frontiera, Brooks Jessup, Amy Van Scoyoc

Overview

Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. 

Geospatial Data in R, part I:Getting started with spatial data objects

May 3, 2021 to May 5, 2021
Author:
Renee Starowicz

Overview

This three-part series will cover the following materials:

Part 1:  Introduction

May 3, 2021 to May 6, 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!

April 30, 2021

Computational Text Analysis Working Group (CTAWG)

Title: The Cost of Conflict in Bankruptcy Reorganizations

Speaker: Kenneth Ayotte, Robert L. Bridges Professor of Law, UC Berkeley

April 28, 2021
Author:
Alexander Sahn

Public meetings allow constituents to comment on matters before local governments, providing signals of public opinion in an otherwise low-information environment. Recent advances in the availability of administrative data have shown inequalities in who participates by race, age, and homeownership status.

April 23, 2021
Author:
Emily Grabowski

Overview

  1.  A brief history of ANNs (Artificial Neural Networks) and an explanation of the intuition behind them. This part aims to give the audience a conceptual understanding with few mathematical barriers, and no programming requirements.

April 22, 2021 to April 23, 2021
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.

April 19, 2021 to April 21, 2021
Author:
Renata Barreto

Overview

This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets.

April 19, 2021 to April 21, 2021
Author:
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.

April 16, 2021

Title: Mining for Conspiracies: A pipeline for the discovery of conspiracy theories on social media

Speaker: Tim Tangherlini is a Professor in the Dept of Scandinavian here at UC Berkeley.

April 14, 2021
Author:
Renata Barreto

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:

  • line

  • bar

April 13, 2021 to April 15, 2021
Author:
Avery Richards, Cheng Ren

Overview

April 12, 2021
Author:
Stacy Reardon, Kiyoko Shiosaki

If you've tinkered in WordPress, Google Sites, or other web publishing tools, chances are you've wanted more control over the placement and appearance of your content. With a little HTML and CSS under your belt, you'll know how to edit "under the hood" so you can place an image exactly where you want it, customize the formatting of text, or troubleshoot copy & paste issues.

April 12, 2021
Author:
Renata Barreto, Emily Grabowski

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.

April 12, 2021
Author:
Hikari Murayama

Overview

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