In the era of big data, data-driven decision-making processes have transformed all fields of study, especially the interdisciplinary field of health sciences. The complex molecular and cellular databases allow for precision medicine. Population health can be better managed by integrating multiple social, political, and environmental risk factor databases. A rigorous study is needed to successfully use a data-centric process that highlights clarity, reproducibility, effective communication, and ethical practices. This talk focuses on to create an appropriate balance of statistics and data science education in the health sciences curriculum.