This three-part series will cover the following materials:
Part 1: Introduction
Sign up for our weekly newsletter!
This three-part series will cover the following materials:
Part 1: Introduction
This three-part series will cover the following materials:
Part 1: Introduction
This workshop outlines how to organize and then code qualitative research materials in ATLAS.ti.
In this hands-on workshop participants will create maps of geographic data. Participants will build on their knowledge of R to create static maps with ggplot2.
In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification.
This hands on workshop builds on part 2 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods.
This hands on workshop goes through the common “preprocessing recipe” that is used as the foundation for a variety of other applications as well as some basic natural language processing techniques
This workshop will introduce geocoding--the process of determining the geographic location of a place name, zipcode, or address.
Please note: This is a three-part workshop series. The first session will occur Monday, October 2 from 1:00-4:00pm.
Participants in this workshop will learn about some of the issues surrounding the collection of health statistics, and will also learn about authoritative sources of health statistics and data.