Computational Biology and Data Analysis involve using computational techniques to understand biological data, such as genomics, proteomics, and biomedical research. It integrates algorithms, machine learning, and statistical models to analyze complex biological systems, aiding in drug discovery, disease prediction, and personalized medicine. This interdisciplinary field bridges biology, computer science, and mathematics to extract meaningful insights from vast biological datasets.