More than Methods: Preparing students for data-driven work outside the classroom
As data have become more prevalent in many fields, it is imperative that undergraduate students are equipped with the skills necessary for data-driven work 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.