Senior data science majors enroll in this course in order to meet the major’s capstone requirement. The goal is to integrate and solidify the concepts learned in previous major courses. Students will demonstrate the ability to conduct applied projects via the steps in the data science process. Students will complete the capstone with the critical thinking needed to pose and refine questions that can be answered with data in an ethical way; the statistical skills needed to draw meaning from data appropriately; the computational skills needed to tackle practical data challenges; and the ability to collaborate, communicate, and critique in the context of modern data. The course is also a chance to practice and demonstrate key technical skills, such as code sharing on github or a strong command of data science libraries in both Python and R. At the end of the course, students will have created a project or portfolio. The course must be taken for a letter grade.