What topics are typically covered in biostatistics courses?

Biostatistics courses cover a range of topics essential for understanding and applying statistical methods to biological and health sciences. These include the basics of statistical theory , probability , and data analysis . Learners will explore topics such as hypothesis testing , regression analysis , and experimental design. Advanced courses might cover areas like survival analysis , longitudinal data analysis, and the use of statistical software such as R and SAS . Practical exercises and real-world case studies help learners apply these concepts to biological and medical research.

How can I choose the right biostatistics course for my career goals?

Choosing the right biostatistics course depends on your current skill level and career aspirations. Beginners should look for courses that cover the basics of statistics , probability , and introductory data analysis techniques. Those with some experience might benefit from intermediate courses focusing on regression analysis , hypothesis testing , and the use of statistical software. Advanced learners or professionals seeking specialized knowledge might consider courses on advanced biostatistical methods, survival analysis , or preparing for certifications like Certified Biostatistician (CB). Reviewing course content, instructor expertise, and learner feedback can help ensure the course aligns with your goals.

What career opportunities can I pursue with a certificate in biostatistics?

A certificate in biostatistics can open up various career opportunities in the fields of public health, medical research, and pharmaceuticals. Common roles include biostatistician , data analyst , clinical research coordinator , and epidemiologist . These positions involve designing experiments, analyzing biological data, interpreting research results, and contributing to the development of medical and health policies. With the increasing importance of data-driven decision-making in healthcare and biological sciences, earning a certificate in biostatistics can significantly enhance your career prospects and opportunities for advancement in fields such as academia, government health agencies, and the pharmaceutical industry.

Top Biostatistics Courses - Learn Biostatistics Online

Explore the Biostatistics Course Catalog

SAS
Regression Modeling Fundamentals
Skills you'll gain: Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability & Statistics, Statistical Hypothesis Testing
4.7
Rating, 4.7 out of 5 stars
53 reviews
Intermediate · Course · 1 - 3 Months
University of California San Diego
Genomic Data Science and Clustering (Bioinformatics V)
Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Machine Learning, Life Sciences, Data Analysis, Computer Programming
4.2
Rating, 4.2 out of 5 stars
92 reviews
Intermediate · Course · 1 - 4 Weeks
Duke University
Inferential Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
4.8
Rating, 4.8 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Basic Statistics in Python (Correlations and T-tests)
Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming
4.3
Rating, 4.3 out of 5 stars
33 reviews
Beginner · Guided Project · Less Than 2 Hours
Duke University
Bayesian Statistics
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution
3.8
Rating, 3.8 out of 5 stars
796 reviews
Intermediate · Course · 1 - 3 Months
Illinois Tech
Bayesian Computational Statistics
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Analysis, Statistical Programming, Statistical Methods, Regression Analysis, Statistical Inference, R Programming, Numerical Analysis, Markov Model, Probability, Simulations, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Statistics For Data Science
Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference, Exploratory Data Analysis
3.9
Rating, 3.9 out of 5 stars
33 reviews
Beginner · Guided Project · Less Than 2 Hours
Icahn School of Medicine at Mount Sinai
Network Analysis in Systems Biology
Skills you'll gain: Bioinformatics, Machine Learning Algorithms, Data Processing, Data Integration, Life Sciences, Statistical Methods, Open Source Technology, Medical Science and Research, Unix Commands, Systems Architecture
4.5
Rating, 4.5 out of 5 stars
200 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Universiteit Leiden
Population Health: Responsible Data Analysis
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Reporting, Data Management, Science and Research, Data Cleansing
4.6
Rating, 4.6 out of 5 stars
44 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Introduction to Genomic Technologies
Skills you'll gain: Bioinformatics, Data Science, Science and Research, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Life Sciences, Big Data, Biostatistics, Statistical Methods, Software Engineering, Algorithms
4.6
Rating, 4.6 out of 5 stars
4.7K reviews
Mixed · Course · 1 - 4 Weeks
Duke University
Introduction to Probability and Data with R
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Data Science, Descriptive Statistics
4.7
Rating, 4.7 out of 5 stars
5.7K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Design and Interpretation of Clinical Trials
Skills you'll gain: Clinical Trials, Scientific Methods, Biostatistics, Ethical Standards And Conduct, Epidemiology, Sample Size Determination, Statistical Methods, Statistical Analysis, Regulation and Legal Compliance
4.7
Rating, 4.7 out of 5 stars
4.3K reviews
Mixed · Course · 1 - 3 Months