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.

Macquarie University
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Model Evaluation, Regression Analysis, Microsoft Excel, Excel Formulas, Trend Analysis, Case Studies, Business Mathematics, Business Metrics, Predictive Modeling, Data Presentation, Statistical Visualization, Graphing, Business Economics, Statistical Modeling, Business Analytics, Decision Making, Process Optimization, Statistical Analysis
Intermediate · Specialization · 3 - 6 Months

The University of Sydney
Skills you'll gain: Health Technology, Health Informatics, Health Care, Health Systems, Electronic Medical Record, Care Coordination, Clinical Informatics, Telehealth, Health Information Management, Patient Education and Support, Interoperability, Patient-centered Care
Mixed · Course · 1 - 3 Months

The University of Melbourne
Skills you'll gain: Mental Status Examination, Psychiatry, Medical History Documentation, Healthcare Ethics, Psychosocial Assessments, Mental and Behavioral Health, Patient Communication, Cultural Sensitivity, Patient Evaluation, Interpersonal Communications, Interviewing Skills, Rapport Building
Advanced · Course · 1 - 3 Months

University of Alberta
Skills you'll gain: Scientific Methods, Research Methodologies, Research, Research Design, Deductive Reasoning, Peer Review, Media and Communications, Correlation Analysis, Statistical Analysis, Probability & Statistics, Cultural Diversity, Descriptive Statistics, Communication
Beginner · Course · 1 - 3 Months
DeepLearning.AI
Skills you'll gain: Model Evaluation, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Artificial Intelligence, Machine Learning, Applied Machine Learning, Supervised Learning, Information Privacy, Deep Learning, Data Preprocessing, Environmental Monitoring, Public Health
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

University of Michigan
Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Preprocessing, Data-oriented programming, Program Development, Numerical Analysis, Critical Thinking
Intermediate · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Surveys, User Research, Survey Creation, Sampling (Statistics), A/B Testing, Web Analytics, Qualitative Research, Usability Testing, Research Methodologies, Web Analytics and SEO, Data Collection, Research Design, Sample Size Determination, Analytics, Data Analysis
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Editing, Constructive Feedback, Concision, Writing, Proofreading, Critical Thinking, Detail Oriented, Collaboration, Time Management, Creativity
Beginner · Course · 1 - 4 Weeks

ESSEC Business School
Skills you'll gain: Business Analytics, Forecasting, Statistical Methods, Data Presentation, Predictive Analytics, R Programming, Information Technology, Statistical Analysis, Communication, Business, Business Intelligence, Strategic Thinking, Data Analysis, Data Visualization, Regression Analysis
Mixed · Course · 1 - 3 Months

University of Colorado System
Skills you'll gain: Patient Communication, Patient Evaluation, Emergency Medical Services, Patient Education And Counseling, Basic Patient Care, Care Management, Clinical Assessment, Triage, Emergency Response
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation
Intermediate · Course · 1 - 3 Months