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: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Care Coordination, Follow Through, Patient Registration, Setting Appointments, Practice Management Software, Medical Records, Record Keeping
Beginner · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Online Advertising, Digital Advertising, Advertising, Analytics, Big Data, Paid media, Social Media Strategy, Social Media, Data Ethics, Marketing, Digital Media Strategy, Social Media Marketing, Data-Driven Decision-Making, Social Media Campaigns, Return On Investment, Descriptive Analytics, Law, Regulation, and Compliance, Trend Analysis, Customer Engagement, Information Privacy
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics
Intermediate · Guided Project · Less Than 2 Hours

Arizona State University
Skills you'll gain: Data Transformation, Engineering Management, Data-Driven Decision-Making, Computational Thinking, Exploratory Data Analysis, Data Storytelling, Capacity Management, Data Analysis, Data Warehousing, Data Strategy, Data Management, Data Lakes, Unstructured Data, Business Intelligence, Data Governance, Data Access, Data Literacy, Solution Design, Management Reporting, Needs Assessment
Beginner · Specialization · 3 - 6 Months

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

University of Michigan
Skills you'll gain: Social Network Analysis, Bayesian Network, Data Analysis, Python Programming, Probability Distribution
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: Marketing Analytics, Web Analytics, Google Analytics, Key Performance Indicators (KPIs), Marketing Effectiveness, Performance Measurement, Business Metrics, Performance Metric, Marketing Strategies, Digital Marketing, Data-Driven Decision-Making, Return On Investment, Analytics, Heat Maps, Customer Engagement
Beginner · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Machine Learning, Machine Learning Algorithms, Classification Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Predictive Analytics, Data Analysis, Minitab, Statistical Methods, Forecasting, Business Analytics, Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Case Studies, Financial Analysis, Microsoft Excel
Mixed · Course · 1 - 3 Months

Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
Mixed · Course · 1 - 4 Weeks