What are the best biostatistics courses online?

Browse the biostatistics courses below—popular starting points on Coursera. Introduction to Statistics: Stanford University Mathematical Biostatistics Boot Camp 1: Johns Hopkins University Understanding Clinical Research: Behind the Statistics: University of Cape Town Introduction to Statistics & Data Analysis in Public Health: Imperial College London Doing Clinical Research: Biostatistics with the Wolfram Language: University of Cape Town

Top Biostatistics Courses - Learn Biostatistics Online

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Status: Free Trial
Johns Hopkins University
Biostatistics in Public Health
Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Statistical Inference, Data Literacy, Probability Distribution, Scientific Methods, Statistics, Statistical Modeling, Data Analysis, Probability & Statistics, Public Health
4.8
Rating, 4.8 out of 5 stars
2.4K reviews
Beginner · Specialization · 3 - 6 Months
Status: Preview
Stanford University
Introduction to Statistics
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution
4.6
Rating, 4.6 out of 5 stars
4.2K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Imperial College London
Statistical Analysis with R for Public Health
Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistics, Public Health, Statistical Inference, Probability & Statistics, Time Series Analysis and Forecasting
4.7
Rating, 4.7 out of 5 stars
2.1K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Mathematical Biostatistics Boot Camp 1
Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing
4.4
Rating, 4.4 out of 5 stars
531 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Imperial College London
Introduction to Statistics & Data Analysis in Public Health
Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export
4.7
Rating, 4.7 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Genomic Data Science
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Statistical Modeling, Data Structures, Data Analysis, Molecular Biology, R Programming, Python Programming
4.5
Rating, 4.5 out of 5 stars
6.7K reviews
Intermediate · Specialization · 3 - 6 Months

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Status: Free Trial
University of Michigan
Statistics with Python
Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Data Visualization, Descriptive Statistics, Bayesian Statistics, Data Visualization Software, Jupyter, Histogram, Statistical Software, Probability & Statistics, Matplotlib, Statistical Analysis, Statistics, Data Analysis, Box Plots, Statistical Programming, Python Programming
4.6
Rating, 4.6 out of 5 stars
3.3K reviews
Beginner · Specialization · 1 - 3 Months
Status: New
Status: Free Trial
University of Colorado Boulder
Foundations of Probability and Statistics
Skills you'll gain: Probability, Probability & Statistics, Estimation, Probability Distribution, Markov Model, Bayesian Statistics, Statistical Methods, Statistical Inference, Sampling (Statistics), Statistical Analysis, Statistics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Descriptive Statistics, Machine Learning Algorithms, Mathematical Theory & Analysis
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
320 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling
4.4
Rating, 4.4 out of 5 stars
781 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
University of Amsterdam
Basic Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistics, Scientific Methods, Quantitative Research, Data Analysis Software
4.6
Rating, 4.6 out of 5 stars
4.6K reviews
Beginner · Course · 1 - 3 Months
Status: Preview
University of Cape Town
Understanding Clinical Research: Behind the Statistics
Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Probability & Statistics, Diagnostic Tests, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Data Collection, Probability
4.8
Rating, 4.8 out of 5 stars
3.7K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Data Science: Statistics and Machine Learning
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub
4.4
Rating, 4.4 out of 5 stars
7.2K reviews
Intermediate · Specialization · 3 - 6 Months

Searches related to biostatistics

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biostatistics in public health

mathematical biostatistics boot camp 1

doing clinical research: biostatistics with the wolfram language

In summary, here are 10 of our most popular biostatistics courses

Biostatistics in Public Health: Johns Hopkins University
Introduction to Statistics: Stanford University
Statistical Analysis with R for Public Health: Imperial College London
Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
Introduction to Statistics & Data Analysis in Public Health: Imperial College London
Genomic Data Science: Johns Hopkins University
Statistics with Python: University of Michigan
Foundations of Probability and Statistics: University of Colorado Boulder
Advanced Statistics for Data Science: Johns Hopkins University
Basic Statistics: University of Amsterdam

Skills you can learn in Probability And Statistics

R Programming (19)

Inference (16)

Linear Regression (12)

Statistical Analysis (12)

Statistical Inference (11)

Regression Analysis (10)

Bayesian (7)

Logistic Regression (7)

Probability Distribution (7)

Bayesian Statistics (6)

Medical Statistics (6)

Frequently Asked Questions about Biostatistics

Browse the biostatistics courses below—popular starting points on Coursera.

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.‎

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.‎

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.