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.

Northeastern University
Skills you'll gain: Data Mining, Exploratory Data Analysis, Model Evaluation, Dimensionality Reduction, Data Preprocessing, Data Cleansing, Data Transformation, Data-Driven Decision-Making, Predictive Analytics, Forecasting, Big Data, Data Analysis, Applied Machine Learning, Statistical Analysis, Classification Algorithms, Data Visualization Software, Unsupervised Learning, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Matplotlib, Scientific Visualization, Data Storytelling, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Data Structures, Heat Maps, Data Manipulation, Pandas (Python Package), NumPy, Data Transformation, Data Preprocessing, Exploratory Data Analysis, Data Cleansing, Data Mapping, Data Import/Export, Python Programming, Scripting
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Statistical Analysis, Machine Learning, Trend Analysis, Financial Data, Financial Modeling, Jupyter, Predictive Modeling, GitHub, Statistical Modeling, NumPy
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Data Cleansing, Exploratory Data Analysis, Data Preprocessing, Data Manipulation, Data Transformation, Data Quality, Data Analysis, Data Visualization, Google Cloud Platform, Data Management
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Data Visualization Software, Data Wrangling, Data Manipulation, Google Cloud Platform, Data Import/Export, Data Transformation, Data Cleansing, Data Analysis, Sampling (Statistics), Course Development
Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Google Cloud Platform, Data Pipelines, Data Migration, Data Lakes, Data Integration, Data Transformation, Exploratory Data Analysis, Cloud Management, Data Management, DevOps
Advanced · Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Logistic Regression, Exploratory Data Analysis, Predictive Analytics, Analytics, E-Commerce, Big Data, Applied Machine Learning, Data Analysis, Classification Algorithms
Intermediate · Project · Less Than 2 Hours
University of Lausanne
Skills you'll gain: Health Policy, Public Health, Health Systems, Geographic Information Systems, Systems Thinking, Community Health, Spatial Analysis, Governance, Policy Development, Social Determinants Of Health, Sustainable Development, Health Assessment, Systems Analysis, Predictive Modeling, Environmental Issue, Data Collection, Machine Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing
Mixed · Course · 1 - 4 Weeks

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Performance Analysis, Sports Medicine, Athletic Training, Patient Evaluation, Exercise Science, Injury Prevention, Performance Reporting, Rehabilitation, Coaching, Health Technology, Load Balancing, Clinical Assessment, Decision Support Systems, Data Integration, Global Positioning Systems
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months