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.

Coursera
Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, AI Enablement, Applied Machine Learning, Exploratory Data Analysis, Machine Learning, Machine Learning Methods
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Data Visualization, Interactive Data Visualization, Data Presentation, Tableau Software, Data Visualization Software, Exploratory Data Analysis, Business Intelligence, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Statistical Hypothesis Testing, Lean Six Sigma, Statistical Analysis, Continuous Improvement Process, Data Analysis, Process Improvement, Process Capability, Quality Control, Root Cause Analysis, Statistical Inference, Regression Analysis, Correlation Analysis
Beginner · Course · 1 - 3 Months

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

Corporate Finance Institute
Skills you'll gain: Data Preprocessing, Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Manipulation, Data Visualization, Data Transformation, Pandas (Python Package), Box Plots, Python Programming, Data Science, Scikit Learn (Machine Learning Library)
Advanced · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Business Analytics, Risk Analysis, Data Analysis, Decision Making, Business Modeling, Trend Analysis, Process Optimization, Simulation and Simulation Software, Market Analysis, Microsoft Excel, Unsupervised Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
Intermediate · Course · 1 - 4 Weeks
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

Northeastern University
Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Data Import/Export, Data Store, Cloud API, Health Informatics, Electronic Medical Record System, Google Cloud Platform, Health Care, Data Integration, Data Modeling, Cloud Storage
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Correlation Analysis, Portfolio Risk, Portfolio Management, Investments, Financial Analysis, Financial Market
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
Intermediate · Course · 1 - 4 Weeks