This three-part series will cover the following materials:
Part 1: Introduction (Wednesday, March 1)
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March 2, 2017
Tableau is a data analysis software suite that creates data driven visualizations without programming. The software works with a variety of input data sources and format sources.
Training: Workshop on Automating Data Operations
March 1, 2017
This hands-on workshop will demonstrate ways to automate data operations--connect, manage, monitor, and transform data quickly--so you can increase analytical productivity and focus on machine lear
Training: R Graphics with ggplot2
February 27, 2017
This workshop will provide a comprehensive overview of graphics in R, including base graphics and ggplot2.
February 28, 2017
Getting research materials in a digital form that you can search and computationally analyze can be a time-consuming initial step in the research process.
Training: Finding Health Statistics and Data
March 9, 2017
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.
Training: Weighting Data
March 7, 2017
This workshop will cover the main types of weighting, to correct for bias in sample data.
Training: Data Organization in Stata
March 3, 2017
This workshop will introduce participants to the basics of data and do-file organization to make working in Stata easier.
Training: Introduction to GIS in R
March 7, 2017
This two-hour course will review the fundamental concepts of GIS, demonstrating them through basic mapping and analysis of a variety of spatial datasets.
Training: Introduction to GIS in R
March 7, 2017
This two-hour course will review the fundamental concepts of GIS, demonstrating them through basic mapping and analysis of a variety of spatial datasets.
