Medical Statistics Courses
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.
Popular Medical Statistics Courses and Certifications
Skills you'll gain: Medical Terminology, Anatomy, Pathology, Medical Records, Physiology, Cell Biology, Nutrition and Diet
Skills you'll gain: Data Visualization
University of Colorado Boulder
Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Microsoft Excel, Excel Formulas, Data Analysis, Statistical Methods
Johns Hopkins University
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Data Analysis
Skills you'll gain: Statistics, Descriptive Statistics, Medical Science and Research, Research Design, Research, Analysis, Research Methodologies, Medical Terminology, Fraud detection
Macquarie University
Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistics, Descriptive Statistics, Probability & Statistics, Microsoft Excel, Data Analysis, Statistical Analysis, Statistical Inference, Statistical Methods, Spreadsheet Software, Excel Formulas, Sampling (Statistics), Data-Driven Decision-Making, Box Plots, Probability Distribution, Descriptive Analytics, Data Visualization, Data Visualization Software, Variance Analysis
University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Experimentation, Research Design, Statistical Methods, Data Science, Data Analysis, Statistics, Statistical Analysis, Predictive Modeling, Machine Learning, Model Evaluation, Logistic Regression, Linear Algebra, Classification Algorithms, Calculus
University of Colorado System
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Health Insurance Portability And Accountability Act (HIPAA) Compliance, R Programming, Medical Privacy, Data Manipulation, Predictive Modeling, Google Cloud Platform, Intensive Care Unit, Data Ethics, Data Quality, Risk Modeling, Natural Language Processing, Informatics, Text Mining, Clinical Informatics, Data Analysis, R (Software)
Skills you'll gain: Statistical Hypothesis Testing, Clinical Data Management, Data Analysis, Analytics, Machine Learning Methods, Healthcare Ethics, Health Informatics, Regression Analysis, Predictive Analytics, Supervised Learning, Statistical Analysis, Statistics, Decision Tree Learning, Random Forest Algorithm
Skills you'll gain: Phlebotomy, Blood Collection, Sterilization, Urinalysis, Patient Communication, Medical Terminology, Patient-centered Care, Nutrition Education, Infection Control, Asepsis, Nutrition and Diet, Pathology, Basic Patient Care, Patient Education And Counseling, Vital Signs, Geriatrics, Laboratory Testing, Direct Patient Care, Hand Hygiene, Electocardiography
Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Methods, Statistical Inference, Public Health
Sage Publications
Skills you'll gain: Research Design, Statistical Hypothesis Testing, Research, Statistical Methods, Statistics, Sampling (Statistics), Correlation Analysis, Statistical Inference, Statistical Analysis, Statistical Modeling, Analysis, Sample Size Determination, Regression Analysis, Psychology, Data Collection, Statistical Reporting, Data Analysis, Data Quality, Model Evaluation, Descriptive Statistics
