Data analysis and applying knowledge to real-world settings rank among key skills of college graduates. This paper shows how to completely integrate data analysis and application of knowledge to real-world settings into an introductory macroeconomics course. Every class meeting is structured as a series of activities that students work through using free, publicly available data. Time can be allotted to these activities during class because the course takes advantage of two previously documented active learning pedagogies (flipped classroom and team-based learning). Students benefit by gaining data analysis skills, applying knowledge to real-world settings, digging deeper into the material and contentious topics, and learning that results from combining the data analysis approach with the active learning approaches.

数据分析和将知识应用于现实环境是大学毕业生的关键技能之一。本文展示了如何将数据分析和知识在现实世界中的应用完全集成到宏观经济学入门课程中。每次课堂会议都是一系列活动，学生可以使用免费的公开数据进行工作。可以在课堂上为这些活动分配时间，因为该课程利用了以前记录的两种主动学习方法（课堂教学和小组学习）。通过学习数据分析技能，将知识应用于实际环境，深入研究实质性和有争议的主题以及将数据分析方法与主动学习方法相结合而获得的学习成果，学生将从中受益。