Biostatistics is the application of statistical methods to biological data. Used for clinical, medical, or other types of scientific purposes, they enable learners to properly understand research and interpret common statistical concepts. This research is also conducted in order to be published in scientific literature. In data science software, like R, Biostatistics are formulated in research that involves the creation of data sets and visualizations.

We recommend Biostatistics to learners who want to be able to read, and respond to, scientific literature in fields related to public health, medicine, and biological science. Learners want to understand Biostatistics in order to stay up-to-date with developments in these fields. Successful learners are also prepared to participate as part of research teams by being able to collect, analyze, and make decisions based on the biostatistics they formulate.

The Bureau of Labor Statistics has predicted that 10,100 statistical positions are expected nationwide in the U.S. through 2024. Some careers for Biostatistics learners include Biostatician, Principal Investigator, Research Scientist, Data Analyst, Quantitative Scientist, Machine Learning Scientist, Public Health and Healthcare Professional, Social Worker, and other roles needed in research.

Learners can take courses from major institutions that cover critical parts of formulating statistics for biological research. Instruction will show how to calculate summary statistics from public health and biomedical data; interpret written and visual presentations of statistical data; and choose the most appropriate statistical method to answer your research question. Learners can see lectures on probability, expectations, distributions, bootstrapping, and other key parts of Mathematical Biostatistics. Data science courses are also offered to show learners how they can clean, analyze, and visualize data while exploring ways to ask the right kinds of questions.