Amherst College

Shu-Min's IDEAS Lab

Inclusivity, Diversity, Equity, Accessibility & Statistics


Here are projects Shu-Min has co-created with her awesome student partners in recent years.

Resources

Introductory Statistics Using Python

These video tutorials are ideal for any students who have taken Introductory Statistics to self- study Python. Students are assumed to already know R or one statistical software.

Introductory Statistics Using Python course
Course

Happy Intro Stats

Co-created by Shu-Min and her students, Happy Intro Stats is a fully inclusive introductory statistics course designed to address the importance of self-care on mental health and understand inequities in mental health issues via statistical investigations.

Happy intro stats course website
Tool

RBlocks

RBlocks is a SCRATCH-like blocked-based coding tool, created to give R novices a jump start in understanding and learning syntax-based R.

RBlocks project
Resources

Useful Resources for Learning R

Over years, Shu-Min has worked with multiple interns and created many useful resources to help her students with diverse prior coding experiences learn R more easily.

Useful resources for learning R
Honors Theses

Copula Modeling

Check Shu-Min’s Statistics Honor Students’ thesis work in Copula Modeling.

Copula modeling project
People

Who We Are

Find more information about Shu-Min and her awesome student partners!

Who we are