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Biostatistics Courses

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.


Popular Biostatistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    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
    Preview
    S

    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
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    4.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    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
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    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    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
    ·
    532 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    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
    Free Trial
    J

    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
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    6.8K reviews

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Preview
    Preview
    U

    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
    Free Trial
    U

    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: Free Trial
    Free Trial
    J

    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
    ·
    782 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Design of Experiments

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    376 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    323 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

Searches related to biostatistics

biostatistics study design and analysis for grant writing
biostatistics in public health
doing clinical research: biostatistics with the wolfram language
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1234…12

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
  • Understanding Clinical Research: Behind the Statistics: University of Cape Town
  • Basic Statistics: University of Amsterdam
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Design of Experiments: Arizona State University

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

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:

  1. Preview the first module of many biostatistics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

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.‎

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.

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