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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., 14-Nov-19
E.g., 14-Nov-19
August 27, 2019
Author:
Janet Torres

This 2-part workshop will introduce ESRI's ArcGIS Online (AGOL), a web based platform for creating online maps, processing geospatial data and doing spatial analysis. Part 2 will focus on ways to share geospatial data hosted on AGOL using ESRI Story Maps, Operations Dashboards, and custom programming.

August 26, 2019
Author:
Josué Meléndez Rodríguez

This session focuses on explaining the proces of creating, organizing, and applying codes within the context of qualitative research. A brief overview of qualitative data analysis (QDA) software will be provided, noting advantages and disadvantages. The agenda will be as follows:

D-Lab Welcome (5 mins)

Intro of Facilitator & Participants (5 mins)

August 26, 2019
Author:
Josué Meléndez Rodríguez

This session introduces qualitative research, and is recommended for folks who are new to research in general or to qualitative research in particular. The agenda will be as follows:

D-Lab Welcome (5 mins)

Intro of Facilitator & Participants (5 mins)

Primer on Qualitative Research (90 mins)

   Basic Concepts & Processes

   Theories & Frameworks

August 26, 2019
Author:
Janet Torres

This 2-part workshop will introduce ESRI's ArcGIS Online (AGOL), a web based platform for creating online maps, processing geospatial data and doing spatial analysis. Part 1 will provde a hands-on overview of uploading data to AGOL, creating web maps, and symbolizing mapped data by attribute values. Part I will also introduce the tools for geoprocessing and spatial analysis. 

Workshop: R Bootcamp
August 24, 2019 to August 25, 2019
Author:
Christopher Paciorek, Evan Muzzall

Co-sponsored by the UC Berkeley Statistics Department, D-Lab, and the Statewide Database at Berkeley Law.

The workshop will be an intensive two-day introduction to R using RStudio. After the first morning session, the workshop will be split into two separate tracks. Topics will include

August 23, 2019
Author:
Evan Muzzall

R Fundamentals Part 4: Putting it all together

In the final part, we will review data importation, subsetting, and visualization. Students will then be given the majority of time to reproduce a workflow on two different datasets, ask questions, and review the solutions as a group.

August 23, 2019
Author:
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

August 22, 2019
Author:
Evan Muzzall

R Fundamentals 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.

August 22, 2019
Author:
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 your research. 

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

August 21, 2019
Author:
Evan Muzzall

R Fundamentals Part 2: Subsetting and Reshaping

August 20, 2019
Author:
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 for free at our R workshops!

August 20, 2019
Author:
Janet Torres

Part 2: Working With Projections & Spatial Queries

August 19, 2019
Author:
Janet Torres

Students will learn about the different ways in which entities in the real world are represented as geographic data. They will be introduced to QGIS, an open-source Geographic Information System (GIS) tool for working with geographic data.

August 15, 2019
Author:
Bryan Wagner

Bryan Wagner is an Associate Professor in the English Department at UC Berkeley. He received a PhD in English from the University of Virginia before coming to Berkeley in 2002. His research focuses on African American expression in the context of slavery and its aftermath, and he has secondary interests in legal history and popular music.

August 13, 2019

Tom McEnaney works on the history of media and technology, Argentine, Cuban, and U.S. literature, sound studies, linguistic anthropology, computational (digital) humanities and new media studies.

August 8, 2019
Author:
Evan Muzzall

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.

August 7, 2019
Author:
Evan Muzzall

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. 

August 6, 2019
Author:
Evan Muzzall

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. 

August 5, 2019
Author:
Evan Muzzall

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.

July 18, 2019
Author:
Evan Muzzall

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.

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