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.

University of California, Davis
Skills you'll gain: ArcGIS, GIS Software, Spatial Analysis, Data Storytelling, Spatial Data Analysis, Geographic Information Systems, Data Presentation, Geospatial Information and Technology, Geospatial Mapping, Public Health and Disease Prevention, Data Sharing, Public Health, Land Management, Heat Maps, Epidemiology, Community Health, Image Analysis, Project Management, Data Quality, Data Visualization Software
Beginner Ā· Specialization Ā· 3 - 6 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Chronic Diseases, Pharmacotherapy, Pharmacology, Nephrology, Treatment Planning, Medical Management, Internal Medicine, Care Management, Endocrinology, Clinical Nutrition, Nutrition and Diet, Medication Administration, Preventative Care, Neurology
Mixed Ā· Course Ā· 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Statistical Inference, Business Analytics, Descriptive Statistics, Sampling (Statistics), Data-Driven Decision-Making, Data Analysis, Data Presentation, Statistical Analysis, Microsoft Excel, Exploratory Data Analysis, Probability & Statistics, Decision Making, Probability Distribution
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: SAS (Software), Data Import/Export, Data Access, Data Manipulation, Statistical Programming, Data Cleansing, Exploratory Data Analysis, Data Preprocessing, Data Analysis, Data Transformation, SQL, Microsoft Excel, Descriptive Statistics
Beginner Ā· Course Ā· 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Data Analysis Software, Probability, Descriptive Statistics, Quality Improvement, Process Engineering
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Intermediate Ā· Specialization Ā· 3 - 6 Months

University of Michigan
Skills you'll gain: UI/UX Research, Surveys, Qualitative Research, Usability Testing, User Experience Design, User Research, User Experience, User Story, Prototyping, Wireframing, User Centered Design, Survey Creation, Sampling (Statistics), Design Research, Interaction Design, Ideation, A/B Testing, Conceptual Design, Web Analytics, Usability
Beginner Ā· Specialization Ā· 3 - 6 Months

Imperial College London
Skills you'll gain: Logistic Regression, Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Statistics, Model Evaluation, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Probability & Statistics, Public Health, Data Preprocessing
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Data Cleansing, Data Preprocessing, Data Access, Applied Machine Learning, Model Evaluation, Data Analysis, Predictive Modeling, Statistical Inference, Statistical Hypothesis Testing, Statistical Methods, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms
Intermediate Ā· Specialization Ā· 3 - 6 Months

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Precision Medicine, Sports Medicine, Athletic Training, Rehabilitation, Responsible AI, Data Ethics, Injury Prevention, Augmented and Virtual Reality (AR/VR), AI Personalization, Health Systems, Exercise Science, Health Technology, Artificial Intelligence, Emerging Technologies, Healthcare Ethics, Machine Learning, Human Machine Interfaces, Predictive Modeling, Risk Management, Real Time Data
Beginner Ā· Course Ā· 1 - 4 Weeks

University of Washington
Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms
Mixed Ā· Course Ā· 1 - 3 Months

University of Virginia
Skills you'll gain: New Product Development, Product Management, Innovation, Product Improvement, Customer Insights, Design and Product, Product Roadmaps, Design Thinking, Stakeholder Engagement, Customer Engagement, Agile Methodology, Data-Driven Decision-Making, Web Analytics, Business Modeling
Beginner Ā· Course Ā· 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Advanced Ā· Specialization Ā· 3 - 6 Months