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.

National Taiwan University
Skills you'll gain: Logistic Regression, R Programming, Statistical Analysis, Case Studies, Model Evaluation, Statistical Modeling, Regression Analysis, Advanced Analytics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Business Analytics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data-Driven Decision-Making, Minitab, Regression Analysis, Logistic Regression, Statistical Hypothesis Testing, Statistical Analysis, Scatter Plots, Correlation Analysis, Data Analysis, Predictive Analytics, Statistical Methods, Descriptive Statistics, Analytics, Business Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Statistical Modeling, Quantitative Research, Case Studies
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Logistic Regression, Model Evaluation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Oracle Databases, Performance Tuning, Operational Databases, System Monitoring, Database Management, SQL, Event Monitoring, Database Architecture and Administration
Intermediate · Course · 1 - 3 Months

Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
Beginner · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: Exploratory Data Analysis, Project Design, Data Mining, Ideation, Design Thinking, Data Analysis, Analytics, Business Analytics, Business Analysis, Sprint Planning, Unsupervised Learning, Case Studies, Anomaly Detection, Tree Maps
Beginner · Course · 1 - 3 Months

University of Lausanne
Skills you'll gain: Health Policy, Geographic Information Systems, Public Health, Case Studies, Health Systems, Spatial Analysis, Systems Thinking, Social Determinants Of Health, Sustainable Development, Environmental Issue, Data Management, Emerging Technologies
Beginner · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Predictive Analytics, Advanced Analytics, Data Cleansing, Unsupervised Learning, Data Analysis, Data Mining, Classification Algorithms, Supervised Learning, Decision Tree Learning, Machine Learning, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Data Storytelling, Data Presentation, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Data Visualization, Data Preprocessing, Statistical Visualization, Box Plots, E-Commerce, Business Analytics, Data Visualization Software, Scatter Plots, Histogram, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Image Quality, Python Programming
Beginner · Specialization · 1 - 3 Months
Johns Hopkins University
Skills you'll gain: Surveys, Data Collection, Epidemiology, Public Health, Health Equity, Health Informatics, Health Policy, Health Promotion, Public Health and Disease Prevention, Health Disparities, Community Health, Health Care, Research Methodologies, Health Information Management, Data Quality, Chronic Diseases, Diversity Awareness, Electronic Medical Record System
Beginner · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Financial Services, Banking, Compensation Analysis, Financial Sales, Investment Banking, Financial Management, Commercial Banking, Private Equity, Retail Banking, Project Finance, Financial Modeling, FinTech, Financial Statement Analysis, Actuarial Science, Emerging Technologies, Trend Analysis, Corporate Finance, Digital Transformation, Credit Risk, Risk Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis
Mixed · Course · 1 - 4 Weeks