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.

University of Illinois Urbana-Champaign
Skills you'll gain: Statistical Inference, Sampling (Statistics), Descriptive Statistics, Probability Distribution, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Microsoft Excel, Statistical Visualization, Graphing, Influencing
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Data Preprocessing, Model Evaluation, Applied Machine Learning, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL
Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Looker (Software), Data Modeling, Database Design, Exploratory Data Analysis, Data Analysis, Data Visualization Software
Beginner · Project · Less Than 2 Hours

University of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Analysis Software, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling
Mixed · Course · 1 - 3 Months

Skills you'll gain: Financial Trading, Financial Market, Technical Analysis, Derivatives, Statistical Analysis, Market Dynamics, Risk Analysis, Market Analysis, Trend Analysis, Performance Analysis, Probability Distribution, Behavioral Economics, Model Evaluation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Electronic Medical Record, Patient Registration, Medical Records, Health Information Management, Patient Safety, Data Cleansing, Medical Privacy, Reconciliation, Records Management, Record Keeping, Data Validation, Data Integrity, Clinical Data Management, Consolidation, Data Quality, Quality Assurance
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Generative AI, Data Preprocessing, Continuous Monitoring
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Evaluation, Time Series Analysis and Forecasting, Forecasting, Google Cloud Platform, Predictive Analytics, Predictive Modeling, Big Data, Data Analysis, Data Analysis Software, Exploratory Data Analysis, Cloud Storage
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Forecasting, Data Preprocessing, Predictive Modeling, Model Evaluation, Data Manipulation, Anomaly Detection, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Experimentation, Research Design, Statistical Modeling, Statistical Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Inference, Simulation and Simulation Software, Probability & Statistics, Data Science, Data Visualization, Simulations, Data Analysis, Data Analysis Software
Intermediate · Course · 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms
Beginner · Course · 1 - 3 Months