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: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Model Optimization, Data Processing, Transfer Learning, Data Analysis, Model Training, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Artificial Neural Networks, Application Deployment, Applied Machine Learning, Fine-tuning, Computer Vision, Predictive Modeling, Model Evaluation, Machine Learning
Intermediate · Course · 3 - 6 Months

Universidad Austral
Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Machine Learning Algorithms, Software Development Life Cycle, Model Deployment
★ 3.2 (6) · Beginner · Course · 1 - 4 Weeks

Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Model Optimization, Deep Learning, Model Training, Bayesian Network, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Network Architecture, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Differential Equations, Engineering Analysis, Mechanics, Applied Mathematics, Calculus, Mechanical Engineering, Linear Algebra, Mathematical Modeling, Physics, Geometry, Vibrations, Derivatives
★ 4.6 (114) · Mixed · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Embeddings, Fine-tuning, Responsible AI, Model Optimization, Data Processing, Algorithms, Data Synthesis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Model Optimization, Recurrent Neural Networks (RNNs), Fine-tuning, Image Analysis, Generative Adversarial Networks (GANs), Model Training, Computer Vision, Natural Language Processing, Scalability, Reinforcement Learning, Distributed Computing
★ 4.3 (150) · Intermediate · Course · 1 - 3 Months

Peking University
Skills you'll gain: C and C++, Object Oriented Design, Object Oriented Programming (OOP), C (Programming Language), Programming Principles, Data Structures, Computer Programming, Algorithms, Maintainability, Memory Management
★ 4.9 (827) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Text Mining, Classification Algorithms, Model Training
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Artificial Neural Networks, Algorithms
Intermediate · Course · 1 - 4 Weeks

The State University of New York
Skills you'll gain: Job Analysis, Adaptability, Professional Development, Dealing With Ambiguity, Personal Development, Lifelong Learning, Branding, Gap Analysis, Competitive Analysis, Self-Awareness, Dashboard, Portfolio Management, Goal Setting
★ 4.5 (304) · Intermediate · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Analysis, Applied Machine Learning, Regression Analysis, Model Training, Unsupervised Learning, Mathematics and Mathematical Modeling, Statistical Methods, Linear Algebra
★ 4.4 (93) · Mixed · Course · 1 - 4 Weeks