Quantitative data is pervasive in our society. But did you ever wonder where all that data comes from and how it is used? This course will provide an introduction to topics in statistics through two individual case studies: one using data from Spotify and one within sports analytics. In this course, you will learn to think more systematically about data and practice your skills by answering a question of your choice using a real data set. You will engage in reading and discussion on topics such as data visualization, trust in numbers, use of data in the media, and diversity in the field of statistics. You will also have the opportunity to learn about the numerous fields and applications of statistics, such as biostatistics and the health sciences, educational statistics, and data analytics and big data.
Each day you will have the opportunity to learn new material on a given topic, participate in small and large group discussions and activities and generally spend the afternoon class time practicing new skills in the computer lab. During the course of this class, we will listen to and engage with approximately 3-5 guest speakers. We will travel as a group to events relevant for the case projects, such as performances and events.
You will leave the course with a basic sense of how to think about quantitative data, how to critique the use of quantitative data, a sense of the types of career trajectories and fields that make use of statistics, and a sense of the challenges that diverse groups face in statistics and STEM. In addition, you will have completed a research paper and research presentation using your new knowledge and skills in data analysis.
GenEd Information: See the GenEd Website for information about courses approved for the IU Bloomington General Education requirements.
Catalog Information: EDUC F 203 TOP EXPLORATION IN EDUCATION