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.

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Decision Tree Learning, Credit Risk, Random Forest Algorithm, Feature Engineering, Financial Modeling, Logistic Regression, Data Analysis, Statistical Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Classification Algorithms
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Data Manipulation, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction
Mixed · Course · 1 - 4 Weeks

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

Arizona State University
Skills you'll gain: Exploratory Data Analysis, Data Strategy, Unstructured Data, Data-Driven Decision-Making, Data Literacy, Solution Design, Data Analysis, Needs Assessment, Gap Analysis, Requirements Analysis
Beginner · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, Exploratory Data Analysis, Data Analysis, Data Cleansing
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Looker (Software), Dashboard, Data Analysis Expressions (DAX), Ad Hoc Analysis, Data Analysis, Exploratory Data Analysis, Data Visualization Software
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Data Analysis Software, Data Transformation, Statistical Analysis, Correlation Analysis, Graphing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering
Intermediate · Course · 1 - 3 Months

University of Pittsburgh
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Visualization, Tableau Software, Matplotlib, Geospatial Information and Technology, Spatial Analysis, Geospatial Mapping, Visualization (Computer Graphics), Seaborn, Infographics, Heat Maps, Data Ethics, Text Mining, Data Mapping, Network Analysis
Build toward a degree
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Dashboard, Kibana, Interactive Data Visualization, Business Analytics, Data-Driven Decision-Making, Data Presentation, System Monitoring, Web Analytics, Exploratory Data Analysis, Data Visualization Software, Trend Analysis, Data Analysis, Automation, Business Intelligence, Data Wrangling, Retail Sales, Scripting, Devops Tools, Python Programming, Data Science
Beginner · Specialization · 1 - 4 Weeks