Examines experimental data generated from core techniques in biotechnology including molecular cloning, protein expression, cell culture, and genome editing. Emphasizes interpretation of authentic research results, data quality assessment, and experimental troubleshooting. Highlights the relationship between experimental design and data outcomes in diverse applications such as PCR, sequencing, and CRISPR. Offers students an opportunity to develop critical thinking, data analysis, and scientific communication skills through evaluation of experimental datasets that model real-world biotechnology research and development contexts.