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: Health Information Management, Regulatory Compliance, Data Management, Health Care, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Data Security, Telehealth, Security Management, Information Privacy, Electronic Medical Record, Threat Management, Emerging Technologies, Information Technology, Interoperability
Beginner · Course · 1 - 4 Weeks

IESE Business School
Skills you'll gain: Professional Networking, Professional Development, Interviewing Skills, Trend Analysis, Sales, Market Trend, LinkedIn, Spreadsheet Software, Relationship Building, Business Marketing, Presentations, Adaptability, Communication Strategies
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Relational Databases, SQL, Microsoft SQL Servers, Databases, Business Intelligence, Business Analytics, Report Writing, Data Access
Intermediate · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Network Analysis, Social Network Analysis, Marketing Analytics, Unstructured Data, Semantic Web, Statistical Methods, Text Mining, Data Structures, JSON, Natural Language Processing, Data Visualization Software, Python Programming
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Oracle Databases, Performance Tuning, Operational Databases, System Monitoring, Database Management, SQL, Event Monitoring, Database Architecture and Administration
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, General Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Correlation Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
Intermediate · Specialization · 3 - 6 Months

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

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
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: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science
Beginner · Course · 1 - 4 Weeks