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.

Johns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Responsive Web Design, Web Design, Cascading Style Sheets (CSS), User Interface (UI), Interactive Design, User Interface (UI) Design, Javascript, Front-End Web Development, Hypertext Markup Language (HTML), Animations, Web Development, Event-Driven Programming
Intermediate · Course · 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 · Course · 1 - 4 Weeks

Technical University of Denmark (DTU)
Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Medical Science and Research, Database Development, Taxonomy, Data Pipelines
Beginner · Course · 1 - 3 Months

Skills you'll gain: Applied Machine Learning, Case Studies, Fraud detection, Project Risk Management, Project Planning, Business Ethics, Ethical Standards And Conduct, Law, Regulation, and Compliance, Scalability, Content Strategy, Quality Assessment, Keyword Research, Search Engine Optimization, Content Creation
Intermediate · Course · 1 - 4 Weeks
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: Plotly, Exploratory Data Analysis, Model Evaluation, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Applied Machine Learning, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Data Collection, Machine Learning, GitHub
Intermediate · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Game Theory, Bidding, Social Sciences, Resource Allocation, Political Sciences, Economics, Behavioral Economics, Mathematical Theory & Analysis, Probability & Statistics
Advanced · Course · 1 - 3 Months

Skills you'll gain: Risk Analysis, Portfolio Risk, Google Sheets, Financial Analysis, Risk Management, Quantitative Research, Spreadsheet Software, Statistical Analysis, Statistics, Probability & Statistics
Beginner · Guided Project · Less Than 2 Hours
O.P. Jindal Global University
Skills you'll gain: Econometrics, Data Ethics, Survey Creation, Environmental Laws, Sampling (Statistics), Social Sciences, Research Reports, Social Determinants Of Health, Matplotlib, Public Policies, Research Methodologies, Political Sciences, Economics, Policy, and Social Studies, Economic Development, Policy Analysis, International Relations, Diplomacy, Economics, Complex Problem Solving, Socioeconomics
Earn a degree
Degree · 1 - 4 Years

Skills you'll gain: Stakeholder Engagement, Business Metrics, Web Analytics, Business Analytics, Analytics, Key Performance Indicators (KPIs), Data Storytelling, Performance Analysis, Presentations, Stakeholder Communications, Marketing Analytics, Strategic Communication, Marketing Effectiveness
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation
Intermediate · Course · 1 - 4 Weeks