As data have become more prevalent in many fields, it is imperative that undergraduate students are equipped with the skills necessary for working with data in this modern environment. There has been significant innovation in introductory statistics and data science courses; however, there has not been as much focus on innovating subsequent courses. In this talk I will share innovations to an undergraduate regression analysis course, the second statistics course taken by many students from a variety of disciplines.
There has been significant innovation in introductory statistics and data science courses to equip students with the statistical, computing, and communication skills needed for modern data analysis. Innovating subsequent courses is also important, so students can continue developing these skills beyond the first course. In this session, we’ll present a modern approach to teaching undergraduate regression analysis, the second statistics course for many students. We’ll share strategies for using real-world data sets and examples, teaching modern computing skills, and incorporating non-technical skills such as writing and effective collaboration as part of the course.
In addition to creating reproducible documents, Quarto offers a rich suite of options for creation slide decks, books, and websites, allowing instructors to create all of their teaching materials reproducibly. In this talk we will demo how we’ve been using Quarto to create and organize teaching materials, introduce resources and templates for getting started with Quarto for organizing your own teaching materials, and share best practices.
Talk for the 2022 Preparing to Teach Workshop about teaching introductory data science and how it differs from teaching traditional introductory statistics.
Presentation of mixed-methods research on undergraduate students’ sense of community and belonging in in-person, hybrid, and online introductory math and statistics courses at Duke University from Fall 2020 through Spring 2022.
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