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.

New York University
Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks
Intermediate Ā· Course Ā· 1 - 4 Weeks

Universidad Austral
Skills you'll gain: Interactive Data Visualization, Data Visualization, Data Visualization Software, Tableau Software, Dashboard, Data Storytelling, Tree Maps, Data Presentation, Data Literacy, Software Installation
Beginner Ā· Course Ā· 1 - 4 Weeks

Coursera
Skills you'll gain: Interactive Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting
Beginner Ā· Guided Project Ā· Less Than 2 Hours

MathWorks
Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis
Beginner Ā· Specialization Ā· 1 - 3 Months

Coursera
Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Python Programming, Machine Learning
Beginner Ā· Guided Project Ā· Less Than 2 Hours

University of Michigan
Skills you'll gain: Sustainable Development, Geographic Information Systems, Geospatial Mapping, Sustainability Reporting, Spatial Data Analysis, Sustainable Business, Spatial Analysis, Data Storytelling, Environmental Monitoring, Data Visualization, Stakeholder Engagement, Trend Analysis, Decision Making
Beginner Ā· Course Ā· 1 - 4 Weeks

Imperial College London
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Convolutional Neural Networks, Transfer Learning, Supervised Learning, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing
Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming
Intermediate Ā· Course Ā· 1 - 3 Months

Universidad de los Andes
Skills you'll gain: Process Analysis, Business Process, Process Mapping, Process Optimization, Business Process Modeling, Business Workflow Analysis, Process Improvement, Data Transformation, Performance Analysis, Operational Efficiency, Simulation and Simulation Software, Resource Allocation
Build toward a degree
Beginner Ā· Course Ā· 1 - 3 Months
University of Minnesota
Skills you'll gain: Model Evaluation, Decision Support Systems, Business Metrics, Performance Metric, Data Collection, Performance Measurement, Benchmarking, Data Validation, A/B Testing, User Feedback, Predictive Analytics, Product Assortment
Mixed Ā· Course Ā· 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Classification Algorithms, Model Evaluation
Intermediate Ā· Course Ā· 1 - 3 Months

University of California, Davis
Skills you'll gain: Prompt Engineering, AI Workflows, Agentic systems, Generative AI, AI Orchestration, Artificial Intelligence, Responsible AI, Innovation, Algorithms
Beginner Ā· Course Ā· 1 - 3 Months