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: Statistical Methods, Regression Analysis, Statistics, Statistical Analysis, Time Series Analysis and Forecasting, Statistical Programming, Probability & Statistics, R (Software), R Programming, Statistical Reporting, Descriptive Statistics, Statistical Modeling, Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Logistic Regression, Data Storytelling, Power BI, Data Presentation, Forecasting
Beginner · Course · 1 - 3 Months

Skills you'll gain: Statistical Hypothesis Testing, Clinical Research, Clinical Data Management, Data Analysis, Analytics, Machine Learning Methods, Healthcare Ethics, Data Literacy, Health Informatics, Regression Analysis, Descriptive Analytics, Predictive Analytics, Machine Learning Software, Supervised Learning, Statistical Analysis, Data Analysis Software, Statistics, Statistical Machine Learning, Decision Tree Learning, Random Forest Algorithm
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Epic EMR, Health Informatics, Data Mapping, Clinical Data Management, Data Dictionary, Clinical Documentation, Data Analysis, Electronic Medical Record, Extract, Transform, Load, Data Integrity, Data Import/Export, Data Access
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Machine Learning, Statistical Modeling, Predictive Analytics, Business Analytics, Statistical Methods, Data Analysis, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model, Diagnostic Tests, Probability Distribution, Sampling (Statistics)
★ 4.5 (27) · Mixed · Course · 1 - 4 Weeks

Stanford University
Skills you'll gain: Feature Engineering, Data Ethics, Healthcare Ethics, Clinical Research, Clinical Data Management, Health Informatics, Medical Records, Unstructured Data, Data Mining, Clinical Informatics, Electronic Medical Record, Data Transformation, Data Collection, Data Preprocessing, Health Disparities, Text Mining, Responsible AI, Data Processing, Medical Imaging
★ 4.6 (508) · Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing, Logistic Regression
★ 4.2 (379) · Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Health Informatics, Health Care, Medical Records, Health Information Management, Health Systems, Clinical Informatics, Electronic Medical Record System, Databases, Health Technology, Informatics, Healthcare Industry Knowledge, Clinical Data Management, Data Analysis, Data Quality, Interoperability, Big Data, Data Access, Query Languages, Data Integration, Data Science
★ 4.6 (234) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Health Informatics, Data Analysis, Clinical Informatics, Patient-centered Care, Analytics, Descriptive Analytics, Data Literacy, Data-Driven Decision-Making, Analytical Skills, Decision Intelligence, Statistical Methods, Statistics
Beginner · Course · 1 - 4 Weeks

University of Amsterdam
Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Correlation Analysis, Statistical Programming, Statistical Modeling, Logistic Regression
★ 4.4 (610) · Mixed · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Statistics, Correlation Analysis, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
Intermediate · Course · 1 - 4 Weeks

The State University of New York
Skills you'll gain: Bioinformatics, Big Data, Analytics, Health Informatics, R (Software), Biostatistics, Medical Science and Research, Predictive Analytics, R Programming, Predictive Modeling, Statistical Analysis, Data Cleansing, Molecular Biology, Feature Engineering, Data Preprocessing, Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Classification Algorithms
★ 4.2 (287) · Advanced · Course · 1 - 3 Months

Skills you'll gain: Clinical Trials, Clinical Data Management, Clinical Research, Case Report Forms, Drug Development, SAS (Software), Statistical Reporting, Pharmaceuticals, Statistical Programming, Data Analysis, Statistical Analysis, Informed Consent, Data Transformation, Data Manipulation, Descriptive Statistics
Beginner · Course · 1 - 4 Weeks