Biostatistics does require coding as coding is a crucial skill for biostatisticians to have.
Although the extent of programming that is required for biostatistics and biostatisticians can vary depending on the specific role, having a strong understanding of statistical programming and languages such as R, SAS, or even Python is also often necessary for analyzing, visualizing and manipulating of data.
Biostatistics is the specialized application of statistics to biological and health related data.
And while biostatistics also encompasses more than just statistics, the core of the biostatistics field also revolves around statistical methods as well as analysis.
In simple words biostatistics is the application of statistical techniques to scientific research in health-related fields, including medicine, biology, and public health, and the development of new tools to study these areas.
Biostatistics is also known as biometry and is a branch of statistics that applies statistical methods to a wide range of topics in biology.
Biostatistics also encompasses the design of biological experiments, the collection and analysis of data from those experiments and the interpretation of the results.