Python for Natural Language Processing
Participants will be introduced to the spacy Python library and basic methods of quantitative textual analysis.
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Events
13 events at GW Libraries.
Statistical Inference with R: Inference for Continuous Data
This workshop will walk you through the R functionality you'll need to use when conducting hypothesis tests on continuous variables.
Getting Started with Tableau: Session 2
Participants will learn how to join two worksheets, build more complex visualizations, filter, and publish finished visualizations online.
Statistical Inference with R: Inference for Categorical Data
This workshop will walk you through the R functionality you'll need to use when conducting hypothesis tests on categorical data.
Statistical Inference with R: Linear and Logistic Regression Modeling
This workshop will walk you through the R functionality you can use to compute correlations between continuous variables.
Creating Interactive Data Visualizations in R with RShiny
Learn to make interactive, publication-quality web-based graphs in R using the RShiny package.
Python for Data Analysis
This workshop will introduce participants to working with and visualizing data in Python.
Introduction to JavaScript
In this workshop you will learn how to take a static website built in HTML and CSS and add dynamic interactions.
Python for Data Analysis
This workshop will introduce participants to working with and visualizing data in Python.
Statistical Inference with R: Inference for Continuous Data
This workshop will walk you through the R functionality you'll need to use when conducting hypothesis tests on continuous variables.
Statistical Inference with R: Inference for Categorical Data
This workshop will walk you through the R functionality you can use to compute correlations between continuous variables.
Statistical Inference with R: Linear and Logistic Regression Modeling
This workshop will walk you through the R functionality you can use to compute correlations between continuous variables.
Creating Interactive Data Visualizations in R with RShiny
Learn to make interactive, web-based graphs in R using the RShiny package.