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

Johns Hopkins University
Simple Regression Analysis in Public Health
Skills you'll gain: Biostatistics, Regression Analysis, Statistical Methods, Statistical Analysis, Epidemiology, Quantitative Research, Data Analysis, Probability & Statistics, Statistical Inference
4.7
Rating, 4.7 out of 5 stars
380 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Design and Conduct of Clinical Trials
Skills you'll gain: Clinical Trials, Clinical Research, Scientific Methods, Biostatistics, Ethical Standards And Conduct, Patient Safety, Regulatory Compliance
4.7
Rating, 4.7 out of 5 stars
294 reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Data Science for Health Research
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Statistical Modeling, Tidyverse (R Package), Statistical Visualization, Data Visualization Software, R Programming, Regression Analysis, Statistical Methods, Ggplot2, Data Wrangling, Statistical Inference, Probability & Statistics, Scatter Plots, Data Manipulation, Predictive Analytics, Predictive Modeling, Correlation Analysis, Histogram, Classification And Regression Tree (CART)
5
Rating, 5 out of 5 stars
9 reviews
Intermediate · Specialization · 1 - 3 Months
University of Colorado Boulder
Statistical Modeling for Data Science Applications
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Experimentation, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Predictive Analytics, Probability & Statistics, Mathematical Modeling, Forecasting, Data Science, A/B Testing, Quantitative Research, Machine Learning
Build toward a degree
4.1
Rating, 4.1 out of 5 stars
52 reviews
Intermediate · Specialization · 3 - 6 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
Arizona State University
Design of Experiments
Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Hypothesis Testing, Statistical Software, A/B Testing, Sampling (Statistics), Data Analysis, Estimation, Mathematical Modeling, Probability & Statistics, Data Transformation, Descriptive Statistics, Probability Distribution, Variance Analysis, Quality Control
4.7
Rating, 4.7 out of 5 stars
358 reviews
Beginner · Specialization · 3 - 6 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
The State University of New York
Big Data, Genes, and Medicine
Skills you'll gain: Bioinformatics, Big Data, Analytics, Data Analysis, Medical Science and Research, Data Processing, Predictive Modeling, Statistical Analysis, Data Manipulation, Data Cleansing, Feature Engineering
4.3
Rating, 4.3 out of 5 stars
284 reviews
Advanced · Course · 1 - 3 Months
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
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
32 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: New
University of Colorado Boulder
Statistics and Applied Data Analysis
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Data Import/Export, Data Analysis
4.7
Rating, 4.7 out of 5 stars
30 reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Statistics for Genomic Data Science
Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, R Programming, Data Analysis, Statistical Inference, Regression Analysis, Scientific Methods, Data Pipelines, Data Transformation, Data Processing, Data Cleansing
4.2
Rating, 4.2 out of 5 stars
371 reviews
Mixed · Course · 1 - 4 Weeks