The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
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Training: R for Data Science: Part 1
May 17, 2016
The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
Training: Programming FUN!damentals
May 16, 2016
An intro to the basics that instructors often assume you know, but that you probably never had good instruction on!
Training: Introduction to Clustering Using R
April 29, 2016
Students will be introduced to the basics of clustering using R.
Training: Qualitative Data Analysis with Dedoose
May 3, 2016
This workshop covers how to organize and analyze qualitative data in Dedoose. Both researchers new to qualitative methods and experienced qualitative researchers are encouraged to attend.
Training: SAS Macros
April 21, 2016
In this workshop, students will learn about and get hands-on experience using SAS macros.
Training: Extracting Data from the Web in Python
May 23, 2016 to May 26, 2016
This workshop will cover how to extract data from the web using Python. We'll be covering both APIs and webscraping.
Topics Covered
Training: Computational Text Analysis in R
May 2, 2016 to May 6, 2016
This course introduces students to modern quantitative text analysis techniques, with the ultimate goal of providing the skills necessary to apply the methods in their own research.
April 27, 2016
There is a wealth of publicly available genomic data out there in the form of microarray and RNA-Seq datasets.
Training: Intro to Data Visualization with D3.js
April 18, 2016 to April 25, 2016
This workshop will introduce the D3 javascript library and provide hands-on examples to create charts and maps with sample data. This is a two part workshop!
