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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-Jul-18
E.g., 18-Jul-18
November 15, 2017
Coordinator:
Evan Muzzall

R FUN!damentals Part 3: Data Exploration and Analysis

Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots. You will also be introduced to coding statistical data analysis via t-tests, analyses of variance, correlation, and linear regression.

November 15, 2017
Coordinator:
Susan Powell

This workshop will cover the basic concepts involved in georeferencing, or georectifiying, a digital image and provide hands-on practice using a web-based interface.

November 14, 2017
Coordinator:
Jackie Ferguson

This three-part series will cover the following materials:

Part 1:  Introduction

November 13, 2017
Coordinator:
Rachel Jansen

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.

Part 3 Topics:

November 13, 2017
Coordinator:
Brian Ho

The Introduction to Blockchain workshop aims to demystify blockchain and decentralized technologies, starting with the history of Bitcoin to an overview of blockchain and how it works. In this workshop, we'll introduce you to fundamental topics in the blockchain space while you get to explore its different applications and use cases in the real world. 

November 13, 2017
Coordinator:
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, 2017
Coordinator:
Janet Torres

ESRI Story Maps let you combine maps with text, images, and multimedia content in a web page. Story Maps make it easy to harness the power of maps as a framework to tell your story. This workshop will introduce the process of creating StoryMaps in ArcGIS Online (AGOL).

November 8, 2017
Coordinator:
Chris Gagne

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.

Part 2 Topics:

November 8, 2017
Coordinator:
Stacy Reardon

In this hands-on workshop, we will learn the basics of creating a WordPress site, a web-based platform good for blogs, scholarly portfolios, and websites. By the end of the workshop, you will know how to post content, embed images and video, customize themes and appearance, and work with plugins. Please bring a laptop if possible.

November 8, 2017
Coordinator:
Evan Muzzall

R FUN!damentals Part 2: Subsetting and Reshaping

November 7, 2017

This workshop has been cancelled. The workshop will be offered again during RRR week. Stay tuned for details. Our most sincere apologies for any inconvenience.

November 7, 2017
Coordinator:
Jackie Ferguson

This three-part series will cover the following materials:

Part 1:  Introduction

November 6, 2017
Coordinator:
Alex Estes

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.

Part 1 Topics:

November 1, 2017
Coordinator:
Josh Quan

It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This workshop will introduce tools (notably dplyr and tidyr) that makes data wrangling and manipulation much easier. Participants will learn how to use these packages to subset and reshape data sets, do calculations across groups of data, clean data, and other useful stuff.

November 1, 2017
Coordinator:
Ariana Thompson-Lastad

Join D-Lab for a conversation with Ariana Thompson-Lastad, a PhD Candidate at the UC San Francisco Department of Social and Behavioral Sciences and Affiliated Graduate Student with the UC Berkeley Institute for the Study of Societal Issues. Ariana is currently writing her mixed-methods dissertation, which uses interviews, observations, and a self-designed survey.

November 1, 2017
Coordinator:
Evan Muzzall

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 at the free D-Lab R workshops!

November 1, 2017
Coordinator:
Ben Gebre-Medhin

In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification. We will use list comprehension to implement the dictionary method, using sentiment analysis as our example.

October 31, 2017
Coordinator:
Alex Estes

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.

October 30, 2017
Coordinator:
Josh Quan

This workshop will provide a comprehensive overview of graphics in R, including base graphics and ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data.

October 27, 2017
Coordinator:
Patty Frontiera

Geospatial data are an important component of social science and humanities data visualization and analysis. The R programming language is a great platform for exploring these data and integrating them into a research project. 

 Geospatial Data in R Part 2: Geoprocessing and Analysis

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