Primary cohort. This study was conducted in a university that offers a large enrollment biochemistry course to students across all majors. The research participants comprised of undergraduate students in their 3rd and 4th year. Before attending this course, students took a pre-class survey that evaluated their understanding and perception of big biological data science and their experience with coding. At the end of the course, students took a post-class survey which asked them to re-evaluate their understanding and perceptions of big biological data science and their experience with coding in the classroom. The total number of participants in this study was 441; 44.9% of students identified as male, 52.8% of students identified as female, and 2.3% identified as "other". The racial and ethnicity distributions of participants mirrored that of a typical undergraduate class; 45.4% caucasians, 31.7% Asians, 6.8% Latinx, 2.7% African American, .5% as Native Americans or Pacific Islanders and the remaining 12.9% consisted of individuals either identifying with two or more races/ethnicities or with unknown/undisclosed identities. Finally, the socio-economic status of the cohort was examined and indicated that the majority of the cohort reported family incomes of $75,000-$140,000 per year (35.5%) and over $140,000 per year (34.4%), where as 13.3% reported family incomes between $50,000-$75,000, 11.4% reported $25,000-$50,000 and 5.5% reported incomes less than $25,000.