Model validation courses can help you learn statistical techniques, performance metrics, overfitting prevention, and cross-validation methods. You can build skills in assessing model accuracy, understanding bias-variance tradeoffs, and implementing robust validation frameworks. Many courses introduce tools like R, Python, and specialized libraries such as scikit-learn and TensorFlow, that support applying these validation techniques to both traditional statistical models and those used in artificial intelligence (AI) applications.

Skills you'll gain: DevOps, CI/CD, Application Deployment, Cloud Development, Development Environment, Cloud Applications, Continuous Deployment, Version Control, Amazon Elastic Compute Cloud, Continuous Integration, Real Time Data, Kibana, Query Languages, Data Modeling, Distributed Computing, SQL, Data Mapping, NoSQL, Event-Driven Programming, Relational Databases
Beginner · Specialization · 1 - 3 Months

University of Maryland, College Park
Skills you'll gain: Cybersecurity, Cyber Security Policies, Cyber Risk, Cyber Attacks, Cyber Governance, Cyber Security Strategy, Security Management, Infrastructure Security, Data Security, Threat Modeling, Computer Security, Security Awareness, Risk Management, Enterprise Security, Vulnerability, Governance, General Networking, Public Safety and National Security, Threat Detection, Artificial Intelligence
Beginner · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Tensorflow, Generative Model Architectures, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction
Advanced · Course · 1 - 3 Months

Dartmouth College
Skills you'll gain: Probability & Statistics, Statistical Methods
Intermediate · Course · 1 - 3 Months

Yale University
Skills you'll gain: Positivity, Mental Health, Goal Setting, Growth Mindedness, Stress Management, Resilience, Self-Awareness, Behavioral Health, Psychology, Mindfulness, Decision Making
Beginner · Course · 1 - 3 Months

Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Dashboard, SQL, Microsoft SQL Servers, Data Security, Data Analysis, Data Visualization Software, Data Modeling, Data Management, Role-Based Access Control (RBAC)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: C and C++, Object Oriented Programming (OOP), C++ (Programming Language), Data Validation, Object Oriented Design, Computer Programming, Programming Principles, Computer Science
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Case Studies, Data Access, Program Development, Statistical Programming, Data Presentation, Scripting, Perl (Programming Language), Data Processing, Automation, Data Integration, Stored Procedure, Data Manipulation, Data Transformation, Debugging, Data Validation, Data Analysis
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Data Literacy, No-Code Development, Business Analytics, Data Science, Applied Machine Learning, Data Capture, Data Modeling, Data Processing, Data Transformation, Data Ethics, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Presentation, Data Storytelling, Presentations, Data Cleansing, Data Visualization, Rmarkdown, Data-Driven Decision-Making, Data Validation, Data Ethics, Analytical Skills, Interactive Data Visualization, Dashboard, Spreadsheet Software, Ggplot2, Google Sheets, SQL, Data Collection, Data Analysis, Sampling (Statistics), Data Processing
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Data Processing, Pandas (Python Package), NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, Statistical Modeling, Feature Engineering, Unsupervised Learning, Performance Tuning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Containerization, Prompt Engineering, Scalability, Docker (Software), Application Deployment, Kubernetes, Azure Active Directory, Prompt Patterns, Generative AI Agents, LangChain, Microservices, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), System Testing, Artificial Intelligence, Distributed Computing, Serverless Computing, Natural Language Processing, Reinforcement Learning
Intermediate · Professional Certificate · 3 - 6 Months