Data modeling courses can help you learn how to create data structures, define relationships between data elements, and ensure data integrity. You can build skills in normalization, schema design, and data visualization techniques. Many courses introduce tools like SQL for database management, ERD tools for visualizing data relationships, and software like Tableau for data analysis, showing how these skills are applied in practical work.

Coursera
Skills you'll gain: Reinforcement Learning, Inventory Management System, Supply Chain, Operations Research, Supply Chain Management, Process Optimization, Data-Driven Decision-Making, Process Analysis, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Decision Making, Simulations, Algorithms
Intermediate · Course · 1 - 4 Weeks

McMaster University
Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Simulation and Simulation Software, Process Optimization, Statistical Software, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies
Intermediate · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Classification Algorithms, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Regression Analysis, Computational Thinking
Advanced · Specialization · 3 - 6 Months

University of California, Davis
Skills you'll gain: SQL, Data Quality, Complex Problem Solving, Data Visualization, JSON, Query Languages, Business Metrics, Business Reporting, Data Cleansing, Data Presentation, Forecasting, Data Analysis, Predictive Analytics, Debugging
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, LLM Application, AI Enablement, Prompt Engineering, Responsible AI, Model Evaluation, Data Quality, Verification And Validation, Natural Language Processing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing
Intermediate · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Context Protocol, Responsible AI, LangGraph, AI Orchestration, AI Workflows, LangChain, Agentic systems, System Monitoring, CrewAI, OpenAI API, Generative AI Agents, LLM Application, Tool Calling, Agentic Workflows, Compliance Management, Governance, AI Security, Continuous Monitoring, Artificial Intelligence, Enterprise Application Management
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Retrieval-Augmented Generation, Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, Model Evaluation, LangChain, Large Language Modeling, Hugging Face, Transfer Learning, Model Deployment, Responsible AI, Performance Tuning, AI Workflows, Generative AI, LangGraph, Embeddings, Context Management, Vector Databases
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Vibe coding, Responsible AI, Google Gemini, Google Cloud Platform, Generative AI, Process Analysis, Artificial Intelligence, Natural Language Processing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning
Intermediate · Course · 1 - 3 Months