Meeting Student Needs for Multivariate Data Analysis: A Case Study in Teaching a Multivariate Data Analysis Course with No Pre-requisites
Other Statistics
2013-10-29 v1 Physics Education
Abstract
Modern students encounter big, messy data sets long before setting foot in our classrooms. Many of our students need to develop skills in exploratory data analysis and multivariate analysis techniques for their jobs after college, but these topics are not covered in introductory statistics courses. This case study describes my experience in designing and teaching a course on multivariate data analysis with no pre-requisites, using real data, active learning, and other activities to help students tackle the material.
Cite
@article{arxiv.1310.7141,
title = {Meeting Student Needs for Multivariate Data Analysis: A Case Study in Teaching a Multivariate Data Analysis Course with No Pre-requisites},
author = {Amy S. Wagaman},
journal= {arXiv preprint arXiv:1310.7141},
year = {2013}
}
Comments
Article is 20 pages. Appendix is 20 pages of example material from the course