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.

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Workflow Management, Predictive Modeling, Scalability, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Project Controls, Project Performance, Issue Tracking, Project Management Software, Real Time Data, Stakeholder Communications, Dashboard, Data Visualization
Beginner · Course · 1 - 4 Weeks

Logical Operations
Skills you'll gain: Data Presentation, Heat Maps, Geospatial Mapping, Data Visualization Software, Statistical Visualization, Data Visualization, Plot (Graphics), Pivot Tables And Charts, Business Reporting, Graphing, Microsoft Access, Business Intelligence Software, Business Intelligence, Data Analysis Software, Data Analysis, Microsoft Office
Mixed · Course · 1 - 4 Weeks

Universidad Austral
Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Data Analysis Expressions (DAX), Spreadsheet Software, Data Import/Export, Data Validation, Business Analysis, Process Optimization, Data Analysis Software, Visual Basic (Programming Language), Automation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Data-Driven Decision-Making, LLM Application, Data Flow Diagrams (DFDs), Semantic Web, Database Theory, Prompt Engineering, Database Design, NumPy, Databases, Generative AI, Data Analysis, NoSQL, Model Evaluation, PyTorch (Machine Learning Library), Simulations, Data-oriented programming, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: Image Quality, Data Preprocessing, Data Quality, Generative AI, Data Validation, Data Collection, Data Transformation, PyTorch (Machine Learning Library), Data Ethics, Data Management, Metadata Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Failure Analysis, Applied Machine Learning, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Pipelines, MLOps (Machine Learning Operations), Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Predictive Analytics, Verification And Validation, Performance Analysis, Data Preprocessing, Image Analysis, Computer Vision, Performance Metric, Tensorflow, Data Quality, Performance Measurement, Applied Machine Learning, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Statistical Hypothesis Testing, A/B Testing, Data-Driven Decision-Making, Customer Analysis, Statistical Methods, Market Research, Statistical Analysis, Business Analytics, Probability & Statistics, Statistical Inference, Data Analysis, Descriptive Statistics, Microsoft Excel, Data Analysis Software, Spreadsheet Software
Beginner · Course · 1 - 4 Weeks