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    • Biostatistics

    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

    • 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
      ·
      554 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      433 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California San Diego

      Genomic Data Science and Clustering (Bioinformatics V)

      Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Molecular Biology, Data Mining, Machine Learning, Data Analysis Software, Life Sciences, Algorithms, Exploratory Data Analysis, Probability & Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      92 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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
      ·
      89 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      101 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      D

      DeepLearning.AI

      Applied Statistics for Data Analytics

      Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Modeling, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), Analytical Skills, Spreadsheet Software, Generative AI

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Essential Epidemiologic Tools for Public Health Practice

      Skills you'll gain: Epidemiology, Spatial Data Analysis, Public Health, Data Presentation, Geographic Information Systems, Biostatistics, Community Health, Health Policy, Risk Analysis, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Variable Selection, Model Validation, Nonlinear Regression

      Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, R Programming, Statistical Analysis, Statistical Modeling, Predictive Modeling, Advanced Analytics, Probability & Statistics, Data Validation

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IIMA - IIM Ahmedabad

      Pre-MBA Statistics

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      278 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      489 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Fitting Statistical Models to Data with Python

      Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      699 reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Exploratory Data Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      166 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
    • Statistics for Data Science with Python: IBM
    • Genomic Data Science and Clustering (Bioinformatics V): University of California San Diego
    • Statistical Analysis Fundamentals using Excel: IBM
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • Applied Statistics for Data Analytics: DeepLearning.AI
    • Essential Epidemiologic Tools for Public Health Practice: Johns Hopkins University
    • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
    • Pre-MBA Statistics: IIMA - IIM Ahmedabad
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz

    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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