Intro to Data Analysis with R

This course provides an introduction to fundamentals of data analysis using the R language.
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Predictive Modeling with Python

Learn about the use of predictive models in Python through scikit-learn.
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Predictive Modeling with Python

Learn about the use of predictive models in Python through scikit-learn.
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Introduction to Spatial-Temporal Statistics

Data collected in time and/or space exhibit unique properties that require attention to draw proper conclusions from statistical analyses. In this workshop, students are introduced to statistical concepts that are particularly useful for analyzing spatial-temporal data.
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A Deep Introduction to Julia

This workshop aims to introduce both users of scripting languages and advanced programmers to the Julia ecosystem and explore details about the Julia language which can help produce efficient and readable code.
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Intro to Linux on the HPC

This course is for researchers who have never used Linux and/or a computer cluster and introduces concepts and best practices for both.

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Topics in R

This course builds on our Introduction to R by teaching advanced visualization and data tidying.
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Intro to R

This course provides an introduction to the fundamentals of the R language and its applications to data analysis.

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Predictive Modeling with Python

Learn about the use of predictive models in Python through scikit-learn.
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Natural Language Processing with Python

This course introduces Natural Language Processing to users familiar with Python.
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