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This workshop covers best practices for organizing and documenting your digital projects for robust, reproducible research. Topics
covered will include data documentation, forms of metadata at both…
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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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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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This 2-part workshop series for intermediate R programmers focuses on
how to load and prepare data for analysis. We’ll explore how to screen a
data set for potential problems with its…
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This workshop provides an overview of the utility and base SQL
commands for working with data in a relational database. We’ll focus on
querying data to get to know a database and answer…
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This workshop provides an overview of the utility and base SQL
commands for working with data in a relational database. We’ll focus on
querying data to get to know a database and answer…
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This 2-part workshop series for intermediate R programmers focuses on
how to load and prepare data for analysis. We’ll explore how to screen a
data set for potential problems with its…
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We often see that values observed in
closer spatial proximity are more alike than those from distant
locations, and thus the data may not be independent. This can cause
problems, and…
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Learn how to create and customize professional-quality, interactive
maps in R shiny. Allow users to explore data, provide both spatial and
non-spatial inputs, and receive personalized…
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This introductory-level workshop will
focus upon the fundamental concepts and skills needed to explore and
analyze data using Geographic Information Systems (GIS) software with
examples using…
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