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  • Medical Statistics

Medical Statistics Courses

Medical statistics courses can help you learn data analysis techniques, study design principles, hypothesis testing, and the interpretation of clinical trial results. You can build skills in analyzing patient data, understanding epidemiological methods, and applying statistical software for real-world health problems. Many courses introduce tools like R, SAS, or SPSS, that support performing statistical analyses and visualizing health data effectively.

Popular Medical Statistics Courses and Certifications


  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundations of Telehealth

    Skills you'll gain: Telehealth, Medical Billing and Coding, Health Technology, Health Systems, Health Care, Medical Billing, Health Care Procedure and Regulation, Health Care Administration, Telecommunications, Value-Based Care, Regulatory Compliance, Patient Communication, Patient-centered Care, Health Policy, Digital Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    55 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Science and Analysis Tools - from Jupyter to R Markdown

    Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Scientific Visualization, Jupyter, Matplotlib, Statistical Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Statistical Methods, Data Analysis, R Programming, Python Programming

    4
    Rating, 4 out of 5 stars
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    26 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning for Supply Chains

    Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Model Evaluation, Data Preprocessing, Operations Research, Model Training, NumPy, Demand Planning, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Trend Analysis, Data Visualization, Machine Learning, Data Science, Data Analysis

    3.4
    Rating, 3.4 out of 5 stars
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    87 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    S

    Stanford Online

    Health After Cancer: Cancer Survivorship for Primary Care

    Skills you'll gain: Patient Communication, Primary Care, Patient Education And Counseling, Patient-centered Care, Care Management, Patient Education and Support, Care Coordination, Patient Evaluation, Oncology, Caregiving, Health Assessment, Patient Referral, Chronic Diseases, Medical History Documentation, Long Term Care, Preventative Care, Family Support, Mental Health

    4.8
    Rating, 4.8 out of 5 stars
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    116 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with R

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Analysis, Model Evaluation, Data Transformation, R Programming, Data Visualization, Regression Analysis, Predictive Modeling, Statistical Methods, R (Software), Data Manipulation, Plot (Graphics), Data Science, Box Plots, Statistical Visualization, Correlation Analysis, Model Training, Tidyverse (R Package)

    4.7
    Rating, 4.7 out of 5 stars
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    378 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Linear Regression in R for Public Health

    Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Descriptive Analytics, Statistical Modeling, R (Software), Model Evaluation, Statistical Analysis, Logistic Regression, Statistical Software, Predictive Modeling, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
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    533 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    722 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    SEO Mastery: From Fundamentals to GenAI and GEO Strategies

    Skills you'll gain: Generative Engine Optimization (GEO), Prompt Engineering, Web Analytics and SEO, Search Engine Optimization, Search Engine Marketing, Generative AI, Marketing Strategy and Techniques, Blogs, Digital Marketing, Content Marketing, Content Creation, Web Content, Semantic Web, Keyword Research, Content Strategy, Growth Strategies, Artificial Intelligence, Web Analytics, Competitive Analysis, Performance Measurement

    4.7
    Rating, 4.7 out of 5 stars
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    87 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    É

    École Polytechnique

    Aléatoire : une introduction aux probabilités - Partie 1

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Simulations, Statistical Methods, Interactive Data Visualization, Combinatorics, Mathematical Theory & Analysis, Calculus, Applied Mathematics, Correlation Analysis, Numerical Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    105 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Introduction to Applied Business Analytics

    Skills you'll gain: Business Analysis, Analytics, Data Preprocessing, Data Analysis, Data-Driven Decision-Making, Data Presentation, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    334 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Applied Data Analytics

    Skills you'll gain: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping

    4.6
    Rating, 4.6 out of 5 stars
    ·
    58 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization

    Skills you'll gain: Process Mapping, Root Cause Analysis, Lean Six Sigma, Lean Methodologies, Correlation Analysis, Process Improvement, Quality Improvement, Project Risk Management, Lean Manufacturing, Six Sigma Methodology, Risk Management, Regression Analysis, Process Improvement and Optimization, Statistical Methods, Statistics, Statistical Process Controls, Continuous Improvement Process, Data Collection, Descriptive Statistics, Quality Management

    4.5
    Rating, 4.5 out of 5 stars
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    49 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Foundations of Telehealth: Johns Hopkins University
  • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
  • Machine Learning for Supply Chains: LearnQuest
  • Health After Cancer: Cancer Survivorship for Primary Care: Stanford Online
  • Data Analysis with R: IBM
  • Linear Regression in R for Public Health: Imperial College London
  • TensorFlow 2 for Deep Learning: Imperial College London
  • SEO Mastery: From Fundamentals to GenAI and GEO Strategies: IBM
  • Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
  • Introduction to Applied Business Analytics: University of Illinois Urbana-Champaign

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