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    • Medical Statistics

    Medical Statistics Courses Online

    Master medical statistics for healthcare research. Learn about statistical methods for analyzing medical data and interpreting clinical trials.

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    Explore the Medical Statistics Course Catalog

    • Status: Free Trial
      Free Trial
      E

      EIT Digital

      The Impact of Technology

      Skills you'll gain: Technology Roadmaps, Technology Strategies, Business Strategy, Forecasting, Innovation, Emerging Technologies, Strategic Decision-Making, Trend Analysis, Business Transformation, Network Analysis, Competitive Analysis, Market Dynamics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      115 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Machine Learning, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      61 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IE Business School

      Intelligence Tools for the Digital Age

      Skills you'll gain: Intelligence Collection and Analysis, Strategic Thinking, Competitive Intelligence, Analysis, Business Intelligence, Digital Transformation, Timelines, Decision Making, Trend Analysis, Business Technologies, Business Strategy, Complex Problem Solving, International Relations, Forecasting, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      669 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      AI and Machine Learning Algorithms and Techniques

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Decision Tree Learning, Business Logic, Dimensionality Reduction, Data Modeling, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Social Media Advertising

      Skills you'll gain: Social Media, Online Advertising, Digital Advertising, Social Media Marketing, Social Media Strategy, Advertising, Advertising Campaigns, Web Analytics, Content Performance Analysis, Facebook, Paid media, Instagram, Marketing Communications, Target Audience, Business Ethics, Brand Awareness, Customer Engagement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      323 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Genentech

      Making Data Science Work for Clinical Reporting

      Skills you'll gain: Clinical Data Management, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, Data Quality, Medical Privacy, Quality Assurance, Risk Management, Maintainability, DevOps, R Programming, Package and Software Management, Agile Methodology

      4.2
      Rating, 4.2 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Data Analysis with R

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Plot (Graphics), Statistics, Data Manipulation, Analysis, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      Nanyang Technological University, Singapore

      Introduction to Complexity Science

      Skills you'll gain: Systems Thinking, Network Analysis, Mathematical Modeling, Simulations, Social Sciences, Applied Mathematics, Policy Analysis, Forecasting, Trend Analysis, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Machine Learning for Data Analysis

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning, Supervised Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods

      4.2
      Rating, 4.2 out of 5 stars
      ·
      324 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Factorial and Fractional Factorial Designs

      Skills you'll gain: Experimentation, Research Design, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Variance Analysis, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      76 reviews

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular medical statistics courses

    • The Impact of Technology: EIT Digital
    • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
    • Intelligence Tools for the Digital Age : IE Business School
    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
    • AI and Machine Learning Algorithms and Techniques: Microsoft
    • Genomic Data Science and Clustering (Bioinformatics V): University of California San Diego
    • Social Media Advertising: University of Colorado Boulder
    • Making Data Science Work for Clinical Reporting: Genentech
    • Statistics and Data Analysis with R: University of Colorado Boulder
    • Introduction to Complexity Science: Nanyang Technological University, Singapore

    Frequently Asked Questions about Medical Statistics

    Medical statistics is a field in which the use of statistics is applied to show correlations between medicine, illness, public health, clinical research, and forensic medicine. Also known as biostatistics, medical statistics has applications in clinical medicine, lab research, and national systems of health care. During the COVID-19 pandemic, medical statistics were used on a daily basis to track how well certain areas were doing to control the spread of the virus.

    Medical statistics represents a large growth opportunity to learn more about, with the ever-increasing numbers of graying baby boomers seeking medical treatment in the coming years, along with the growing use of big data around medical records.‎

    Medical statistics are an essential part of medical research, and it is valuable to learn this to gain knowledge that can be used in medical experiments, medical tests, global pandemics, and clinical trials of medicine. When statistics are used in medicine, the results can help provide a general snapshot of the threat or severity of a certain illness.

    Understanding medical statistics can also help medical professionals and pharmaceutical companies figure out which new drugs should be tested and brought to market. With more information about health and medicine through statistics, the better equipped our society will be about illnesses and more.‎

    When you learn medical statistics, you can find work in medicine and the health sciences, including careers in medical labs, hospitals, public health facilities, government institutions, and medical testing facilities. Health care organizations use a great deal of data and statistics today to drive performance outcomes. Knowing medical statistics can help you find career work in medical service provider organizations that use data to grow quality improvement throughout the organization.‎

    When you take online courses on Coursera about medical statistics, you can learn key concepts about research models and statistical analysis along with how to apply and measure statistical hypothesis testing, binary data, variability regression, and confidence intervals. You have the opportunity to discover how to read and understand mathematical formulas that will give you greater confidence to understand medical statistics as well as explore public health policy issues and assess how they impact the medical community at large.‎

    Online Medical Statistics courses offer a convenient and flexible way to enhance your knowledge or learn new Medical Statistics skills. Choose from a wide range of Medical Statistics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Medical Statistics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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