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    Biostatistics Courses Online

    Understand biostatistics for analyzing biological data. Learn statistical methods for medical research and public health studies.

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    Explore the Biostatistics Course Catalog

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Mathematical Biostatistics Boot Camp 2

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Data Analysis, Sample Size Determination, Risk Analysis, Probability Distribution

      4.3
      Rating, 4.3 out of 5 stars
      ·
      133 reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Infectious Disease Transmission Models for Decision-Makers

      Skills you'll gain: Health Policy, Epidemiology, Infectious Diseases, Public Health, Policy Analysis, Mathematical Modeling, Statistical Modeling, Biostatistics, Predictive Modeling, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      623 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      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

    • Status: Free Trial
      Free Trial
      I

      Icahn School of Medicine at Mount Sinai

      Network Analysis in Systems Biology

      Skills you'll gain: Bioinformatics, Unsupervised Learning, Network Analysis, Data Analysis, Molecular Biology, Statistical Analysis, Machine Learning Algorithms, Biology, Data Processing, Data Integration, R Programming, Unix Commands

      4.5
      Rating, 4.5 out of 5 stars
      ·
      200 reviews

      Intermediate · Course · 1 - 3 Months

    • V

      Vanderbilt University

      Case Studies in Personalized Medicine

      Skills you'll gain: Precision Medicine, Medical Science and Research, Health Informatics, Biostatistics, Electronic Medical Record, Healthcare Ethics, General Medicine, Clinical Research, Probability & Statistics, Statistical Analysis, Molecular Biology, Pharmacology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      497 reviews

      Mixed · Course · 1 - 3 Months

    • I

      IIMA - IIM Ahmedabad

      Pre-MBA Statistics

      Skills you'll gain: Sampling (Statistics), Probability, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Literacy, Statistical Inference, Estimation, Statistical Analysis, Descriptive Statistics, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      280 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Statistics and Analysis

      Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Pivot Tables And Charts, Regression Analysis, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Analysis, Statistical Modeling, Excel Formulas, Data Analysis, Data Presentation, Statistics, Business Analysis, Statistical Methods, Sample Size Determination, Statistical Inference

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Learning for Data Science

      Skills you'll gain: Statistical Modeling, Applied Machine Learning, Statistical Machine Learning, Regression Analysis, Statistical Methods, Data Science, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, R Programming, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Probability & Statistics, Advanced Analytics, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      17 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Statistical Analysis Fundamentals using Excel

      Skills you'll gain: Descriptive Statistics, Regression Analysis, Forecasting, Probability Distribution, Business Analytics, Data Analysis, Statistical Analysis, Statistical Methods, Microsoft Excel, Statistics, Spreadsheet Software, Predictive Analytics, Probability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Databricks

      Introduction to Computational Statistics for Data Scientists

      Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Statistics, NumPy, Simulations, Mathematical Software, Statistical Inference

      4
      Rating, 4 out of 5 stars
      ·
      109 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      565 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Mathematical Biostatistics Boot Camp 2: Johns Hopkins University
    • Infectious Disease Transmission Models for Decision-Makers: Johns Hopkins University
    • Regression Modeling Fundamentals: SAS
    • Network Analysis in Systems Biology: Icahn School of Medicine at Mount Sinai
    • Case Studies in Personalized Medicine: Vanderbilt University
    • Pre-MBA Statistics: IIMA - IIM Ahmedabad
    • Business Statistics and Analysis: Rice University
    • Statistical Learning for Data Science: University of Colorado Boulder
    • Statistical Analysis Fundamentals using Excel: IBM
    • Introduction to Computational Statistics for Data Scientists: Databricks

    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)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

    Frequently Asked Questions about Biostatistics

    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.

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