Developing Data Science Skills Using Call of Duty® Data

Interest in data science and data science education has exploded in recent years. As more schools offer introductory data science courses, there is an increased demand for real datasets that may be used for developing foundational skills such as data wrangling, data exploration, and modeling. We present a collection of datasets related to the popular Call of Duty® video game series and illustrative examples for teaching statistical thinking. The solutions employ data wrangling techniques such as creating new variables, filtering data, processing strings, and joining data from multiple sources. We emphasize exploratory data analysis and the importance of multivariate thinking through data visualization. The examples further extend insights gained from data visualization by introducing basic modeling and statistical thinking concepts. We conclude with a discussion of our experience incorporating these datasets into homework assignments and projects in a variety of undergraduate courses.

Data Science Education

Statistics Education

Teaching Resources 

Beginner

Education

Symposium on Data Science and Statistics (SDSS) 2023