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.

Skills you'll gain: Health Technology, Health Information Management, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Data Management, Health Care, Cloud Security, Personally Identifiable Information, Regulatory Compliance, Information Privacy, Information Management, Data Security, Interoperability, Electronic Medical Record, Records Management, Security Controls, Information Technology
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, SPSS, Applied Machine Learning, Machine Learning, Data Preprocessing, Machine Learning Algorithms, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Methods, Data Visualization
Mixed · Course · 1 - 4 Weeks

Immersify
Skills you'll gain: Endocrinology, Physiology, Anatomy, Urology, Gynecology, Neurology, Obstetrics And Gynecology, Immunology, Nephrology, Biology, Pathology, Health Assessment
Beginner · Course · 1 - 3 Months

Skills you'll gain: Demand Planning, Customer Demand Planning, Supply Chain Planning, Production Planning, Forecasting, Time Series Analysis and Forecasting, Trend Analysis, Inventory Management System, Data Analysis, R Programming, Data Visualization, R (Software), Model Evaluation
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Marketing Analytics, Analytics, Marketing, Data Analysis, Resource Utilization, Marketing Effectiveness, Registration, Statistical Methods, Digital Marketing, Social Media Marketing
Intermediate · Course · 1 - 4 Weeks

University of Copenhagen
Skills you'll gain: Patient Education And Counseling, Chronic Diseases, Community Health, Primary Care, Health Disparities, Preventative Care, Health Care, Public Health, Care Management, Health Systems, Health Promotion, Nutrition and Diet, Diagnostic Tests, Risk Analysis
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Social Media, Social Media Strategy, Customer Engagement, Market Trend, Business Strategy, Customer Insights, Brand Management, Strategic Thinking, Strategic Decision-Making, Competitive Analysis, Trend Analysis, Data-Driven Decision-Making, Analytical Skills
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming
Beginner · Guided Project · Less Than 2 Hours

LearnKartS
Skills you'll gain: Continuous Monitoring, Performance Analysis, Project Risk Management, Risk Analysis, Risk Mitigation, Risk Management, Project Documentation, Management Reporting, Change Control, Trend Analysis, Variance Analysis, Data Quality, Stakeholder Communications
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Unsupervised Learning, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis
Beginner · Guided Project · Less Than 2 Hours
University of Glasgow
Skills you'll gain: Deep Learning, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Convolutional Neural Networks, Model Evaluation, Health Informatics, Electronic Medical Record, Data Cleansing, Feature Engineering, Time Series Analysis and Forecasting, Predictive Modeling, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks