The results of the paired statistical analysis indicate that students' attitudes toward omics data and data science were significantly different after completing the course. These differences had significantly large effect sizes, such that students felt more confident about their coding skills and understanding about analyzing omics data at the end of the course. This effect was present in both the large seminar course design and the workshop course design. The analysis also indicates that there were significant differences between students' involvement with research that analyzes omics data prior to and at the end of the course, which suggests that more students were conducting research that involved omics data analysis at the end of the course.