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.

Johns Hopkins University
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, R Programming, R (Software), Data Processing, Data Preprocessing, Data Analysis, Statistical Programming, Text Mining, Correlation Analysis
★ 4.6 (34) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Forecasting, Data Preprocessing, Predictive Modeling, Model Evaluation, Data-Driven Decision-Making, Feature Engineering, Predictive Analytics, Anomaly Detection, Model Training, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: A/B Testing, Data-Driven Decision-Making, Statistical Methods, Statistical Hypothesis Testing, Analytics, Statistics, Estimation, Decision Making, Data Analysis, Statistical Inference, Statistical Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PySpark, Apache Spark, Data Synthesis, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Wrangling, Data Processing, Data Manipulation, Big Data, Data Science, Jupyter, People Analytics
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming
★ 4.8 (34) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Visualization, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Model Training, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Data Preprocessing, Natural Language Processing, Predictive Modeling, Machine Learning, Unstructured Data, Machine Learning Algorithms, Python Programming, Computer Science
★ 4.5 (17) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Statistical Hypothesis Testing, Logistic Regression, Lean Six Sigma, Correlation Analysis, Six Sigma Methodology, R (Software), R Programming, Statistical Programming, Statistical Analysis, Test Tools, Statistical Methods, Statistical Software, Regression Analysis, Probability & Statistics, Data Literacy, Data Science
★ 4.6 (14) · Intermediate · Guided Project · Less Than 2 Hours

University of California San Diego
Skills you'll gain: Diagnostic Tests, Bioinformatics, Computational Thinking, Model Evaluation, Molecular Biology, Infectious Diseases, Molecular, Cellular, and Microbiology, Medical Science and Research
★ 4.1 (10) · Beginner · Course · 1 - 4 Weeks

The Hong Kong University of Science and Technology
Skills you'll gain: Bayesian Statistics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Object Oriented Programming (OOP), Statistical Machine Learning, Object Oriented Design, Machine Learning Methods, Plot (Graphics), Data Visualization, Seaborn, Flask (Web Framework), Web Development, Computer Programming, Artificial Intelligence and Machine Learning (AI/ML), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Back-End Web Development, Pandas (Python Package), Probability & Statistics, Application Development, Data Manipulation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Demand Planning, Customer Demand Planning, Supply Chain Planning, Production Planning, Forecasting, Time Series Analysis and Forecasting, Trend Analysis, Inventory Management System, Data Analysis, Plot (Graphics), R Programming, Data Visualization, R (Software), Model Evaluation, Model Training
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Model Optimization, Regression Analysis, Model Training, Statistical Modeling, Predictive Modeling, Fine-tuning, Scientific Visualization, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Processing, Exploratory Data Analysis, Python Programming, Machine Learning, Development Environment
★ 4.5 (14) · Intermediate · Guided Project · Less Than 2 Hours