Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

Northeastern University
Skills you'll gain: Health Systems, Managed Care, Patient-centered Care, Healthcare Industry Knowledge, Medicaid, Health Care Administration, Health Care, Medicare, Health Policy, Health Disparities, Health Equity, Cultural Diversity, Diversity Awareness, Telehealth, Economics, Trend Analysis
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Physics, Materials science, Physical Science, Mathematical Modeling, Advanced Mathematics, Calculus, Applied Mathematics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: User Story, Project Management, Risk Management, Kanban Principles, Project Planning, Agile Project Management, Agile Software Development, Cost Management, Project Management Office (PMO), Backlogs, Scaled Agile Framework, Agile Methodology, Scope Management, Team Leadership, Project Estimation, Earned Value Management, Requirements Management, Sprint Planning, Organizational Structure, Sprint Retrospectives
Beginner · Specialization · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Portfolio Management, Portfolio Risk, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Financial Data, Statistical Programming, Regression Analysis, Data Manipulation, Data Visualization
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Health Informatics, Unsupervised Learning, Model Evaluation, Medical Imaging, Python Programming, Dimensionality Reduction
Advanced · Course · 1 - 4 Weeks

Pontificia Universidad Católica de Chile
Skills you'll gain: Engineering Analysis, Engineering Calculations, Numerical Analysis, Finite Element Methods, Chemical Engineering, Simulation and Simulation Software, Differential Equations, Applied Mathematics, NumPy, Mathematical Modeling, Scientific Visualization, Python Programming, Plot (Graphics), Linear Algebra, Algorithms
Intermediate · Course · 1 - 3 Months

Amazon
Skills you'll gain: Git (Version Control System), Software Development Methodologies, Requirements Analysis, Version Control, Application Development, Software Development Life Cycle, Agile Software Development, Unified Modeling Language, Software Testing, JUnit, Agile Methodology, Spring Framework, Maintainability, Debugging, Java, Software Design Patterns, Technical Design, Unit Testing, User Interface (UI) Design
Beginner · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, Applied Machine Learning, Cloud Deployment, AI Workflows, Automation, Continuous Deployment, Containerization, Data Processing
Intermediate · Course · 1 - 4 Weeks

Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Vibrations, Matlab, Engineering Analysis, Engineering Calculations, Mechanical Engineering, Applied Mathematics, Mechanics, Differential Equations, Mathematical Modeling, Control Systems
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, NumPy, Embeddings, Data Visualization, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Text Mining, Data Science, Data Processing, Applied Machine Learning, Unstructured Data, Markov Model, Data Preprocessing
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software
Intermediate · Course · 1 - 3 Months