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.

University of Michigan
Skills you'll gain: Responsible AI, Generative AI, Governance, Data Governance, Data Management, Compliance Management, Consumer Behaviour, AI Enablement, Social Impact, Business Risk Management, Business Operations, Data Ethics, AI Product Strategy, Artificial Intelligence, Risk Analysis, Automation, Stakeholder Management, Human Resources, Leadership and Management, Risk Management
Beginner · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming
Advanced · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Database Systems, Relational Databases, Database Management, Database Theory, Databases, SQL, Database Design, Database Management Systems, Database Architecture and Administration, Data Access, Query Languages, Data Modeling, Data Manipulation, User Accounts
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Email Automation, Workflow Management, AI Workflows, No-Code Development, Deepseek, Large Language Modeling, Generative AI, Automation, Model Deployment, Data Analysis, Google Sheets, Data Processing, Gmail
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Responsible AI, Data Ethics, Unsupervised Learning, Information Privacy, Data Synthesis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MySQL Workbench, Database Design, Database Development, Database Systems, Relational Databases, Database Management, SQL, Data Manipulation, Data Analysis, Data Science
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Computer Vision, Dimensionality Reduction, Model Evaluation
Intermediate · Course · 1 - 3 Months

Vanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Responsible AI, Generative AI, Creativity, Risk Management Framework, Artificial Intelligence, Problem Solving
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks
Advanced · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution
Intermediate · Specialization · 3 - 6 Months