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.

Wesleyan University
Skills you'll gain: Descriptive Statistics, Data Manipulation, Data Presentation, Data Management, Data Literacy, Graphing, SAS (Software), Peer Review, Data Analysis, Statistics, Research Reports, Exploratory Data Analysis, Python Programming
Mixed · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Health Informatics, Medical Records, Health Information Management, Interoperability, Health Care, Electronic Medical Record System, Clinical Data Management, Internet Of Things, Emerging Technologies, Data Management, Unstructured Data, Data Integration, Data Modeling, Data Transformation, Scalability
Mixed · Course · 1 - 4 Weeks
University of Pennsylvania
Skills you'll gain: Research Methodologies, Research Design, Qualitative Research, Critical Thinking, Persistence, Program Evaluation, Case Studies, Tenacity, Psychological Evaluations, Surveys, Data Collection, Reliability, Descriptive Statistics, Interviewing Skills
Beginner · Course · 1 - 4 Weeks

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Leadership, Collaboration, Physical Stamina, Performance Analysis, Sports Medicine, Nutrition and Diet, Athletic Training, Exercise Science, Injury Prevention, Coaching, Nutrition Education, Innovation, Automation, AI Personalization, Teamwork, Performance Reporting, Technology Solutions, Data Management, Health Technology, Communication
Beginner · Specialization · 3 - 6 Months

MathWorks
Skills you'll gain: Plot (Graphics), Scripting, Matlab, User Interface and User Experience (UI/UX) Design, Data Manipulation, Data Visualization Software, Generative AI, Interactive Data Visualization, Mathematical Modeling, Data Visualization, LLM Application, Data Sharing, Scientific Visualization, Data Storytelling, Data Analysis, Code Review, Descriptive Statistics, User Interface (UI) Design, Engineering Calculations, Programming Principles
Beginner · Specialization · 1 - 3 Months

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Medical Equipment and Technology, Data Ethics, AI Personalization, Kinesiology, Artificial Intelligence and Machine Learning (AI/ML), Preventative Care, Biomedical Engineering, Data Collection
Beginner · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)
Advanced · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Quality, Data Management, Technical Communication, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Data Science, Statistical Machine Learning, Statistical Inference, Statistics, A/B Testing, Statistical Modeling
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, General Mathematics, Analytical Skills, Probability & Statistics, Geometry
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development Tools, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Back-End Web Development, Software Documentation, Computer Programming, Python Programming
Beginner · Course · 1 - 3 Months
Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Data Preprocessing, Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Data Migration, Apache Airflow, Model Evaluation, Scikit Learn (Machine Learning Library), Data Cleansing, Cloud Computing
Intermediate · Professional Certificate · 3 - 6 Months