Skills you'll gain: Software Engineering, Software Testing, Computational Thinking, Computer Programming, General Statistics, Java Programming, Probability & Statistics, Security Engineering, Security Strategy, Software Engineering Tools, Agile Software Development, Algorithms, Application Development, Artificial Neural Networks, Bioinformatics, Biostatistics, Business Analysis, Business Psychology, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Networking, Data Analysis, Deep Learning, Design and Product, DevOps, Entrepreneurship, Feature Engineering, Finance, Human Computer Interaction, Human Factors (Security), Leadership and Management, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Network Security, Probability Distribution, Product Design, Product Lifecycle, Regulations and Compliance, Research and Design, Risk Management, Software Architecture, Software Security, Statistical Analysis, Theoretical Computer Science, User Experience, User Experience Design, User Research
Intermediate · Course · 3-6 Months
Skills you'll gain: Biostatistics, General Statistics, Probability & Statistics, Statistical Analysis, Basic Descriptive Statistics, Business Analysis, Data Analysis, Data Visualization, Exploratory Data Analysis, Feature Engineering, Machine Learning, Mobile Development, Plot (Graphics), Probability Distribution, Statistical Visualization, iOS Development
Beginner · Course · 1-3 Months
Skills you'll gain: Entrepreneurship, Leadership and Management, Research and Design, Marketing, Sales, Innovation, Strategy, Strategy and Operations, Market Analysis, Business Psychology, Market Research, Design and Product, Communication, Marketing Psychology, Product Marketing, Business Development, Collaboration, Digital Marketing, Forecasting, Organizational Development, Performance Management, Probability & Statistics, Problem Solving, Product Design, Prospecting and Qualification, Adaptability, Advertising, Advertising Sales, B2B Sales, Business Analysis, Business Design, Business Transformation, Creativity, Inside Sales, Planning, Product Lifecycle, Supply Chain and Logistics, Account Management, Behavioral Economics, Biostatistics, E-Commerce, Negotiation, Project Management, Social Media
Intermediate · Specialization · 3-6 Months
Skills you'll gain: Accounting, Communication, Entrepreneurship, Probability & Statistics, Business Analysis, Data Analysis, Data Management, Market Research, Marketing, Mathematics, Research and Design, Algebra, Biostatistics, Business Communication, Business Psychology, Experiment, Human Resources, Market Analysis, Accounting Software, Applied Mathematics, Behavioral Economics, Benefits, Big Data, Bioinformatics, Business Process Management, Calculus, Clinical Data Management, Computer Architecture, Corporate Accouting, Data Analysis Software, Financial Analysis, General Accounting, Hardware Design, Human Learning, Marketing Management, Spreadsheet Software, Statistical Analysis, Strategy and Operations, Training, Writing
Intermediate · Course · 1-3 Months
Skills you'll gain: Business Analysis, Critical Thinking, Research and Design, Strategy and Operations, Biostatistics, Computer Graphic Techniques, Computer Graphics, Probability & Statistics
Beginner · Course · 1-3 Months
Skills you'll gain: Business Analysis, Data Analysis, General Statistics, Probability & Statistics, R Programming, Statistical Analysis, Statistical Programming, Bioinformatics, Biostatistics, Big Data, Data Management, Data Visualization, Accounting, Advertising, Communication, Computer Graphics, Financial Analysis, Graphics Software, Marketing
Mixed · Course · 1-4 Weeks
Skills you'll gain: Business Psychology, Entrepreneurship, Human Resources, Leadership and Management, Algorithms, Biostatistics, Feature Engineering, General Statistics, Leadership Development, Machine Learning, People Development, Probability & Statistics, Theoretical Computer Science
Beginner · Course · 1-3 Months
Skills you'll gain: Bioinformatics, Probability & Statistics, Mathematics, Network Analysis, Differential Equations, Graph Theory, Applied Mathematics, Biostatistics, Correlation And Dependence, Computational Logic, Computer Networking, Epidemiology, Network Model, Theoretical Computer Science
Mixed · Course · 1-3 Months
Skills you'll gain: Calculus, Mathematics, Algebra, Mathematical Theory & Analysis, Applied Mathematics, Basic Descriptive Statistics, Biostatistics, Data Analysis, Data Analysis Software, Probability & Statistics
Mixed · Course · 3-6 Months
There are some great free biostatistics courses available online that offer an invaluable education in the field. For example, the Coursera Clinical Research course teaches course teaches strategies and techniques needed to develop research protocols. Additionally, the Bioinformatics course examines biological data from a computational perspective. If you are interested in more specialized biostatistics courses, check out the Clinical Research Biostatistics with Wolfram course for an in-depth analysis of biostatistics with Mathematica. Another great option is the Genetic Epidemiology course which looks at the impact of genetics in population health. Finally, if personalized medicine interests you, the Personalized Medicine course provides an examination of modern genomic data analysis.
For those interested in learning the basics of Biostatistics, some of the best courses for beginners include the Biostatistics and Public Health Specialization, the Statistical Analysis with R Specialization, the Introduction to Summary Statistics course, the Simple Regression Analysis in Public Health course and the Fundamental Machine Learning for Healthcare course. These courses provide a strong foundation in basic Biostatistical understanding and skills.
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.
Before learning biostatistics, it's helpful to have a background in math and science. This could include jobs, internships, volunteer work, or even high school or college-level classes that involve topics like biology, health, genetics, statistics, algebra, calculus, epidemiology, ecology, chemistry, microbiology, anthropology, or environmental science. Experience or previous classes in technical writing can be helpful too. Experience or skills involving programming are always beneficial because the field relies on the use of computers, technology, software, applications, and data.
In addition to an interest in math, science, and health, those who seek roles in biostatistics should have analytical minds with a keen eye for detail. Because you'll spend so much time going over data, objectivity, critical thinking, and problem-solving abilities are also important. You must also be a good communicator in both written and verbal skills. On a daily basis, you may interact with biologists, researchers, physicians, scientists, policymakers, and your colleagues, so interpersonal skills are a must. You may also find yourself making presentations or speaking at meetings and conferences, so you can't be afraid of public speaking. You'll also need to be a good manager. That means remaining organized and practicing time management skills as you work to complete each of your projects.
A love for math and science can lead you to learning biostatistics since the field combines both of these subject matters. Learning biostatistics can help you land a job with a competitive salary at a university, government agency, or large company in the private sector. If you've ever dreamed of working in the health care field, but you don't necessarily want to work directly with patients as a physician or nurse, biostatistics may be the right path for your future. In addition to public health, you could end up working in fields like agriculture, veterinary science, or environmental health, so learning biostatistics can open up many doors for a potential career.