eSociety 214: Introduction to Data Science
eSociety214
As data continue to penetrate everything we do in contemporary work across many professions, employers are seeking data savvy people to extract meaning and patterns from data. This course provides an introduction to the various skills and considerations required for data management and analysis in business, education, and science. Particular attention will be given to learning how to use the free and open-source computing environment R, as well as its data visualization package ggplot2.
 
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eSociety 302: Quantitative Methods for the Digital Marketplace
eSociety302
This course will explore research paradigms and theoretical approaches that inform contemporary social science research, including various study designs and methods of data analysis. Though this course will introduce research methods from across the academic spectrum, quantitative analysis of both small and large data sets will be emphasized. Students will learn about basic statistical analysis and will be introduced to the emerging worlds of computational social science and social network analysis.
 
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