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This introductory workshop will cover common data types and basic GIS
(geographic information systems) concepts. We will use QGIS, open
source GIS software with a graphical user interface (as…
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Description: Leah Nagel, Jr. Specialist for the Center for Watershed
Sciences, will lead participants in an introduction to R for spatial
data.
Learning Objectives – by the end of the…
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This workshop will introduce you to cloud computing, Amazon Web
Solutions’ infrastructure (including AWS Regions and Availability
Zones), and the types of workloads that are a good fit for…
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This workshop introduces cloud computing, Amazon Web Solutions
infrastructure (including AWS Regions and Availability Zones), and the
types of workloads that are a good fit for AWS. This session…
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The California Election 2020 Data Challenge
is a month-long data science + civic engagement competition designed to
leverage public data to help us understand this year’s ballot…
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In this workshop, participants will learn how to make map figures for
academic publications such as journal articles and books. Participants
will learn how to find and understand art…
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In this workshop, participants will learn a few of the many options for visualizing spatial data in R. Participants should have an introductory understanding of R and have R installed on their…
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Learn and practice how to talk directly to your computer via command line. The
shell is a very powerful tool for using scientific software and working
with large data sets. It is primarily used…
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This workshop covers an introduction to natural language processing
(NLP) and caveats for its application to health data. Using the R
programming language we will introduce the basics of text…
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This workshop explores basic, practical applied statistics using the R
statistical programming language. On the first day we’ll focus on common
procedures like assessing the distribution of…
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This workshop explores basic, practical applied statistics using the R
statistical programming language. On the first day we’ll focus on common
procedures like assessing the distribution of…
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This workshop covers the fundamentals of using version control for
reproducible research. Topics covered will include installing the Git
versioning control software locally, initiating a local…
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This workshop focuses on the basics of working with Large Language
Models (LLMs) as part of the research pipeline, including understanding
and interrogating the models themselves as well as…
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This two-part workshop series provides an introduction to using R for
two popular machine learning techniques: clustering and
classification. Clustering involves identifying groups of similar…
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