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.

University of Colorado System
Skills you'll gain: Statistical Software, Marketing Analytics, Model Evaluation, Regression Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Advanced Analytics, Strategic Marketing, Market Analysis, Marketing Effectiveness, Predictive Analytics, Marketing Strategies, Predictive Modeling, Logistic Regression, Customer Insights, Target Market, Statistical Hypothesis Testing, A/B Testing, Variance Analysis
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Statistical Modeling, Statistics, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: LLM Application, Test Data, Prompt Engineering, Model Evaluation, Transfer Learning, Generative AI Agents, Performance Testing
Intermediate · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Looker (Software), Data Modeling, Dashboard, Database Design, Data Warehousing, SQL, Data Analysis, Data Persistence, Version Control
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Data Preprocessing, Statistical Methods, Probability & Statistics, Model Evaluation, Machine Learning
Mixed · Course · 1 - 3 Months

Coursera
Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Large Language Modeling, Strategic Decision-Making, Systems Integration, Scalability, Innovation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Computational Logic, Theoretical Computer Science, Model Evaluation, Systems Analysis, Graph Theory, Verification And Validation, Algorithms, Data Structures
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Simulation and Simulation Software, Systems Thinking, Data Sharing, Data Modeling, Systems Design, Mathematical Modeling, Interactive Data Visualization, Biology, Environment, Storytelling
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Manipulation, Scikit Learn (Machine Learning Library), Data Transformation, Pandas (Python Package), NumPy
Mixed · Course · 1 - 3 Months

The Open University
Skills you'll gain: Sustainable Business, Stakeholder Engagement, Corporate Sustainability, Business Modeling, Environmental Social And Corporate Governance (ESG), Stakeholder Analysis, Systems Thinking, Value Propositions, Design Thinking, Verification And Validation, Presentations, Innovation
Intermediate · Course · 1 - 4 Weeks

28DIGITAL
Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Statistical Modeling, Probability, Algorithms, Probability Distribution
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours