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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: Free Trial
    Free Trial
    I

    IBM

    IBM Ethical Hacking with Open Source Tools

    Skills you'll gain: Threat Detection, Penetration Testing, Exploit development, Cyber Threat Intelligence, Threat Management, Linux Administration, Incident Response, Vulnerability Scanning, Vulnerability Assessments, Cybersecurity, Vulnerability Management, Network Monitoring, Bash (Scripting Language), Cyber Security Assessment, Network Security, Anomaly Detection, Incident Management, AI Security, Information Systems Security, Network Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    212 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI and Public Health

    Skills you'll gain: Model Evaluation, Data Analysis, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Ethics, Machine Learning Algorithms, Artificial Intelligence, Model Training, Machine Learning, Applied Machine Learning, Responsible AI, Data Manipulation, Supervised Learning, Information Privacy, AI literacy, Environmental Monitoring, Healthcare Ethics, Public Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    252 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Model Optimization, Feature Engineering, Model Deployment, Tensorflow, Model Training, Exploratory Data Analysis, Google Cloud Platform, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Data Quality, Machine Learning Software, Business Metrics, Machine Learning Methods, Machine Learning, Applied Machine Learning, Logistic Regression, Dataflow, Data Pipelines, Cloud Deployment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    448 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Colorado System

    Genetic Epidemiology Foundations

    Skills you'll gain: Epidemiology, Biostatistics, Statistical Analysis, Medical Science and Research, Data Quality, Statistical Modeling, Analysis, Probability & Statistics, Molecular Biology, Statistical Methods, Regression Analysis, Data Validation, Data Cleansing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    51 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure AI in Healthcare

    Skills you'll gain: Health Informatics, Azure Active Directory, Medical Privacy, Cloud Security, Health Care, Identity and Access Management, Real Time Data, Data Infrastructure, Model Training, Patient Education and Support, AI Security, Microsoft Azure, Clinical Data Management, Clinical Monitoring, Health Technology, Image Analysis, Data Visualization Software, Patient Communication, Generative AI, AI Integrations

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Shanghai Jiao Tong University

    常见慢性病的健康管理

    Skills you'll gain: Chronic Diseases, Blood Pressure, Long Term Care, Geriatrics, Home Health Care, Cardiology, Family Medicine, Preventative Care, Medical Management, Pain Management, Public Health and Disease Prevention, Care Management, Nutrition and Diet

    4.7
    Rating, 4.7 out of 5 stars
    ·
    38 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Icahn School of Medicine at Mount Sinai

    Voice Disorders: What Patients and Professionals Need to Know

    Skills you'll gain: Speech Therapy, Communication Disorders, Speech Language Pathology, Patient Evaluation, Patient Treatment, Physiology, Clinical Assessment, Surgery, Anatomy

    4.9
    Rating, 4.9 out of 5 stars
    ·
    219 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    The Measure Phase for the 6 σ Black Belt

    Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Process Capability, Lean Manufacturing, Lean Six Sigma, Data Collection, Sampling (Statistics), Probability Distribution, Process Analysis, Descriptive Statistics, Performance Measurement, Quality Improvement, Process Improvement and Optimization, Continuous Quality Improvement (CQI), Probability & Statistics, Probability, Systems Of Measurement, Statistical Methods, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    60 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    Y

    Yonsei University

    Spatial Data Science and Applications

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geospatial Information and Technology, Geographic Information Systems, Geospatial Mapping, GIS Software, Database Management Systems, Big Data, Database Systems, Apache Hadoop, Data Modeling, PostgreSQL, Network Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    532 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Machine Learning, Artificial Intelligence, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    302 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidad Nacional Autónoma de México

    Farmacovigilancia ocular

    Skills you'll gain: Drug Interaction, Pharmacology, Medication Therapy Management, Clinical Pharmacy, Pharmacotherapy, Patient Safety, Patient Evaluation, Diagnostic Tests, Clinical Monitoring, Medical Devices, Immunology, Health Technology, Risk Analysis, Clinical Assessment, Anatomy

    4.9
    Rating, 4.9 out of 5 stars
    ·
    365 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    332 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • IBM Ethical Hacking with Open Source Tools: IBM
  • AI and Public Health: DeepLearning.AI
  • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
  • Genetic Epidemiology Foundations: University of Colorado System
  • Microsoft Azure AI in Healthcare: Microsoft
  • 常见慢性病的健康管理: Shanghai Jiao Tong University
  • Voice Disorders: What Patients and Professionals Need to Know: Icahn School of Medicine at Mount Sinai
  • The Measure Phase for the 6 σ Black Belt: Kennesaw State University
  • Spatial Data Science and Applications: Yonsei University
  • Deep Learning and Reinforcement Learning: IBM

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