Geospatial data are an important component of social science and humanities data visualization and analysis.
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Training: Geospatial Data in R: Part 1
February 11, 2019
Geospatial data are an important component of social science and humanities data visualization and analysis.
February 20, 2019
In this workshop we will cover the most common CTA task: supervised classification.
February 13, 2019
This hands on workshop builds on part 1 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods.
February 6, 2019
This hands-on workshop presents a broad overview of the existing methods to use text as data, with a focus on applications in social sciences and humanities.
Training: Machine Learning in Python
March 5, 2019
This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT.
February 26, 2019
For this workshop, we'll provide an introduction to visualization with Python.
Training: Introduction to Pandas
February 19, 2019
Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive.
Training: Python Fundamentals: Part 4
February 14, 2019
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience.
Training: Python Fundamentals: Part 3
February 12, 2019
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience.
