Biostatistics courses can help you learn statistical methods for analyzing health data, experimental design, and epidemiological principles. You can build skills in interpreting data sets, conducting hypothesis testing, and applying regression techniques to real-world health scenarios. Many courses introduce tools like R and SAS, that support performing complex analyses and visualizing data trends in public health research.

Johns Hopkins University
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
Beginner · Specialization · 3 - 6 Months

Stanford University
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
Beginner · Course · 1 - 3 Months

Imperial College London
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
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing
Mixed · Course · 1 - 4 Weeks

Imperial College London
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
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
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
Intermediate · Specialization · 3 - 6 Months

University of Cape Town
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
Beginner · Course · 1 - 3 Months

University of Amsterdam
Skills you'll gain: Statistical Hypothesis Testing, Statistics, Scientific Methods, Quantitative Research, Data Analysis Software
Beginner · Course · 1 - 3 Months

Johns Hopkins University
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
Advanced · Specialization · 3 - 6 Months

Arizona State University
Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Modeling, Design Strategies, Statistical Software, Probability & Statistics, Mathematical Modeling, Analysis, Data Transformation, Descriptive Statistics, Probability Distribution, Statistical Hypothesis Testing, Variance Analysis, Data Analysis, Quality Control
Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Probability Distribution, Statistical Methods, Statistics, Markov Model, Bayesian Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Theoretical Computer Science, Machine Learning Algorithms, Mathematical Theory & Analysis
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Statistics, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Statistical Analysis, Jupyter, Statistical Programming, Regression Analysis, Data Visualization Software, Predictive Modeling, Data Analysis, Python Programming
Beginner · Specialization · 1 - 3 Months
Biostatistics is a branch of statistics that applies statistical methods to biological and health-related processes. It plays a crucial role in public health, clinical research, and epidemiology by providing the tools necessary to analyze data and draw meaningful conclusions. Understanding biostatistics is essential for making informed decisions based on data, especially in fields like medicine, where it helps in designing studies, analyzing clinical trials, and interpreting health data. The importance of biostatistics lies in its ability to improve health outcomes by ensuring that research findings are valid and applicable to real-world scenarios.‎
A career in biostatistics can lead to various job opportunities across multiple sectors, including healthcare, pharmaceuticals, and government agencies. Common roles include biostatistician, data analyst, epidemiologist, and clinical research associate. These positions often involve designing experiments, analyzing data, and interpreting results to inform public health policies or clinical practices. Additionally, professionals in this field may work in academia, contributing to research and teaching the next generation of statisticians and health professionals.‎
To excel in biostatistics, you should develop a strong foundation in statistics, mathematics, and data analysis. Key skills include proficiency in statistical software (such as R or SAS), understanding of study design and data collection methods, and the ability to interpret and communicate complex data findings effectively. Familiarity with biological concepts and public health principles is also beneficial. Continuous learning and staying updated with the latest statistical methods and technologies will further enhance your expertise in this field.‎
There are several excellent online courses available for those interested in biostatistics. Notable options include the Biostatistics in Public Health Specialization, which covers essential statistical concepts and their applications in public health. The Mathematical Biostatistics Boot Camp 1 and Mathematical Biostatistics Boot Camp 2 provide a comprehensive introduction to the mathematical foundations of biostatistics. These courses are designed to equip learners with the necessary skills to analyze and interpret health data effectively.‎
Yes. You can start learning biostatistics on Coursera for free in two ways:
If you want to keep learning, earn a certificate in biostatistics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
Learning biostatistics can be approached through various methods. Start by enrolling in online courses that cover the fundamentals and gradually progress to more advanced topics. Practical experience is crucial, so consider working on real-world data sets or participating in research projects. Additionally, reading textbooks and academic papers in the field can deepen your understanding. Engaging with online communities or forums can also provide support and resources as you navigate your learning journey.‎
Typical topics covered in biostatistics courses include descriptive statistics, probability theory, hypothesis testing, regression analysis, and survival analysis. Courses often explore study design, including randomized controlled trials and observational studies, as well as data management and statistical software applications. Understanding these concepts is vital for conducting research and interpreting health data accurately, making them essential components of any biostatistics curriculum.‎
For training and upskilling employees in biostatistics, courses like the Biostatistics Study Design and Analysis for Grant Writing can be particularly beneficial. This course focuses on the practical application of biostatistical methods in research settings, making it ideal for professionals looking to enhance their analytical skills. Additionally, the Doing Clinical Research: Biostatistics with the Wolfram Language course offers insights into using advanced tools for data analysis, which can be valuable for organizations aiming to improve their research capabilities.‎