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.

Coursera
Skills you'll gain: Plotly, Exploratory Data Analysis, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Interactive Data Visualization, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Howard University
Skills you'll gain: Regression Analysis, Correlation Analysis, Financial Modeling, Spreadsheet Software, Business Analysis, Business Modeling, Business Analytics, Microsoft Excel, Data Modeling, Statistical Analysis, Analysis, Forecasting, Risk Analysis, Data Analysis, Product Assortment, Complex Problem Solving, Predictive Modeling, Price Negotiation, Business Process, Business Strategy
Intermediate · Specialization · 1 - 3 Months

Peking University
Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Public Health, Health Policy, Biostatistics, Research Methodologies, Medical Science and Research, Research Design, Infectious Diseases, Chronic Diseases, Case Studies, Statistical Methods, Data Collection, Risk Analysis
Beginner · Course · 1 - 3 Months

Utrecht University
Skills you'll gain: Epidemiology, Environmental Monitoring, Medical Science and Research, Social Determinants Of Health, Biostatistics, Public Health, Environmental Science, Data Science, Statistical Analysis, Cardiology, Research
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Telehealth, Patient Education And Counseling, Medical Telemetry, Patient Preparation, Teamwork, Patient Communication, Collaboration, Vital Signs, Clinical Assessment, Health Technology, Health Assessment, Health Informatics, Patient Treatment, Health Care, Health Systems, Patient Evaluation, Telecommunications, Care Management, Health Care Procedure and Regulation, Communication
Beginner · Specialization · 1 - 4 Weeks

Erasmus University Rotterdam
Skills you'll gain: Data Analysis, Statistical Reporting, Quantitative Research, Statistical Analysis, Small Data, Qualitative Research, R (Software), R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots
Beginner · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, ChatGPT, LLM Application, Generative AI, Technical Communication, AI Personalization, Context Management, Transfer Learning, Sampling (Statistics)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Responsible AI, Risk Analysis, Risk Management, Generative AI, Root Cause Analysis, Data-Driven Decision-Making, Analysis, Strategic Decision-Making, Trend Analysis, Scenario Testing, Strategic Thinking, Data Ethics, Strategic Planning, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, LLM Application, OpenAI API, Trend Analysis, Real Time Data, Analytics, Business Marketing, Program Development, Prompt Engineering, Business Strategy, Generative AI, ChatGPT, Technology Roadmaps, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Content Marketing
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, Applied Machine Learning, Python Programming, Open Source Technology, JSON
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis
Beginner · Guided Project · Less Than 2 Hours