Where Can I Find Free Online Biostatistics Courses?

Johns Hopkins University is among the schools offering free online biostatistics courses. Classes typically require that students have moderate-level mathematical aptitude. Keep reading to learn about select courses, including what they cover and what materials are provided. Schools offering Bioinformatics degrees can also be found in these popular choices.

What You Need to Know

Biostatistics is used to analyze data included in medical, epidemiological, genomic and biological studies. You can explore biostatistics through free, noncredit courses offered by accredited colleges and universities. Most courses require that you have a PDF reader to access readings and study materials. Materials include lecture notes, graphs and equations on various hypothesis models. Some classes also provide links to scientific journals, but sign-ups for a subscription may be needed to view content.

Johns Hopkins Bloomberg School of Public Health (JHBSPH)

Three classes in biostatistics are available through this school's OpenCourseWare (OCW) system: Introduction to Biostatistics, Methods in Biostatistics I and Methods in Biostatistics II. The on-campus version of these classes require that students undergo an assessment or complete prerequisites in math. These requirements are not applicable since free courses are not graded. However, you may better comprehend course details if you're already knowledgeable in mathematical concepts.

Introduction to Biostatistics

This course is designed for students who are not familiar with biostatistics. At the end of the course, students are expected to meet objectives like knowing how to calculate normal scores and probabilities, explain p values and interpret differences in data distributions.

What Does the Course Cover?

Topics in this online class cover biostatistical concepts and the methods used to analyze and interpret various types of biological data samples. You will learn how to examine the basic elements of biostatistical studies, test statistical hypotheses and measure the size and characteristics of sample groups.

What Materials Are Provided?

The course provides lectures in MP3 and portable document format (PDF) on topics like sample variability, mean comparisons and study design. There are also 23 practice problem sets with solutions. You aren't required to complete the assignments because this course doesn't provide access to instructors.

Methods in Biostatistics I

As a self-study OCW course, Methods in Biostatistics I can be accessed for free anytime. You will find materials from the original version of the course offered to students attending Johns Hopkins University. This course cites linear algebra and calculus as prerequisites.

What Will I Learn?

This course aims to teach you the statistical methods and concepts that biostatistics scientists use to analyze data. Topics covered include probability models, statistical inference, hypothesis testing and sample size measurements. Data display methods, such as boxplots and scatterplots are also covered.

What Materials Are Included?

You will have access to study notes from a series of 14 lectures on topics, such as set theory, random vectors and confidence intervals. Resources include a link to free statistical software and notes on statistical methods and concepts. There is also a list of articles, textbooks and papers on data analysis, statistics, data display and other related topics.

Methods in Biostatistics II

Originally offered in 2006, this class is another OCW version of a for-credit course. This course builds on topics studied in Biostatistics I and cites the same math prerequisites.

What Will I Learn?

You will learn advanced methods of designing biostatistics research, measuring sample sizes and testing hypotheses. The course covers testing and statistical modeling techniques such as the Bonferoni procedure and Poisson count regressions.

What Materials Are Provided?

This course's lecture notes are in PDF format and focus on procedures, such as hypothesis, binomial proportion, chi-squared testing and Fisher's exact test. Lecture notes also cover permutation tests, non-parametric tests, Simpson's paradox and procedures for matched pairs. You can also study notes on multinomial distribution, review statistical reference cards, access a bibliography and scan statistical software resources.

To continue researching, browse degree options below for course curriculum, prerequisites and financial aid information. Or, learn more about the subject by reading the related articles below:

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