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    Results for "biostatistics"

    • University of Michigan

      Fitting Statistical Models to Data with Python

      Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Data Analysis, Exploratory Data Analysis, Data Manipulation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      699 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Wesleyan University

      Regression Modeling in Practice

      Skills you'll gain: Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, SAS (Software), Scatter Plots, Statistical Programming, Statistical Hypothesis Testing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      274 reviews

      Mixed · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Essential Epidemiologic Tools for Public Health Practice

      Skills you'll gain: Epidemiology, Spatial Data Analysis, Geographic Information Systems, Data Visualization Software, GIS Software, Biostatistics, Geospatial Mapping, Infectious Diseases, Health Assessment, Graphing, Risk Analysis, Data Collection

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of Minnesota

      Introduction to Human Behavioral Genetics

      Skills you'll gain: Mental and Behavioral Health Specialties, Behavioral Health, Human Development, Social Sciences, Qualitative Research, Life Sciences, Psychology, Psychiatry, Biostatistics, Medical Science and Research, Research Methodologies, General Science and Research, Research, Epidemiology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      593 reviews

      Mixed · Course · 1 - 3 Months

    • University of Amsterdam

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Software, Statistical Analysis, Statistical Methods, Quantitative Research, Sampling (Statistics), Probability & Statistics, Regression Analysis, Probability Distribution

      4.3
      Rating, 4.3 out of 5 stars
      ·
      597 reviews

      Mixed · Course · 1 - 3 Months

    • University of Colorado Boulder

      Managing, Describing, and Analyzing Data

      Skills you'll gain: Statistical Inference, Probability Distribution, Statistical Analysis, Descriptive Statistics, Sampling (Statistics), Statistics, Statistical Hypothesis Testing, R Programming, Data Analysis, Probability, Systems Of Measurement

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 3 Months

    • Rice University

      Introduction to Biology: Evolution

      Skills you'll gain: Life Sciences, Biostatistics, Taxonomy, Anatomy, Infectious Diseases, Scientific Methods, Science and Research

      4.9
      Rating, 4.9 out of 5 stars
      ·
      58 reviews

      Beginner · Course · 1 - 3 Months

    • University of Colorado Boulder

      Modern Regression Analysis in R

      Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Predictive Analytics, Probability & Statistics, Forecasting, Linear Algebra

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • Johns Hopkins University

      Outbreaks and Epidemics

      Skills you'll gain: Epidemiology, Infectious Diseases, Risk Analysis, Investigation, Biostatistics, Emergency Response, Research, Statistical Analysis, Mathematical Modeling, Report Writing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      751 reviews

      Beginner · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      101 reviews

      Advanced · Course · 1 - 4 Weeks

    • Illinois Tech

      Linear Regression

      Skills you'll gain: Regression Analysis, R Programming, Statistical Inference, Data Analysis, Statistical Analysis, Predictive Modeling, Statistical Modeling, Probability & Statistics, Linear Algebra

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New

      DeepLearning.AI

      Applied Statistics for Data Analytics

      Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Statistical Methods, Histogram, Probability, Probability Distribution, Correlation Analysis, Statistical Inference, Sampling (Statistics), Analytical Skills, Generative AI

      4.9
      Rating, 4.9 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to biostatistics

    biostatistics in public health
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    mathematical biostatistics boot camp 1
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    doing clinical research: biostatistics with the wolfram language
    1…789…13

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

    • Fitting Statistical Models to Data with Python: University of Michigan
    • Regression Modeling in Practice: Wesleyan University
    • Essential Epidemiologic Tools for Public Health Practice: Johns Hopkins University
    • Introduction to Human Behavioral Genetics: University of Minnesota
    • Inferential Statistics: University of Amsterdam
    • Managing, Describing, and Analyzing Data: University of Colorado Boulder
    • Introduction to Biology: Evolution: Rice University
    • Modern Regression Analysis in R: University of Colorado Boulder
    • Outbreaks and Epidemics: Johns Hopkins University
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins 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)
    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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