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: Debugging, Model Evaluation, Root Cause Analysis, Data Preprocessing, Software Visualization, Exploratory Data Analysis, Analysis, Performance Tuning, Performance Analysis, Quantitative Research
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Generative AI Agents, Vector Databases, LLM Application, Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Edge Impulse
Skills you'll gain: MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Machine Learning Methods, Deep Learning, Computer Vision, Anomaly Detection, Convolutional Neural Networks, Machine Learning, Cloud Computing, Internet Of Things, Product Engineering, Embedded Systems, Industrial Engineering, Data Science, Product Development
Beginner · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Data Preprocessing, Applied Machine Learning, Data Lakes, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Artificial Intelligence and Machine Learning (AI/ML), Retrieval-Augmented Generation, Data Quality, Machine Learning, Embeddings, Artificial Intelligence, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 3 Months

The State University of New York
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Correlation Analysis, Probability & Statistics, Descriptive Statistics, Statistical Inference, Software Installation
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Apache Airflow, Data Validation, Image Analysis, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Algorithms, Embeddings, Applied Machine Learning, Performance Tuning, Deep Learning, Digital Signal Processing
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Unsupervised Learning, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Supervised Learning, Clinical Informatics, Machine Learning, Health Informatics, Data Preprocessing, Clinical Data Management, Predictive Analytics, Patient Safety, Decision Tree Learning, Time Series Analysis and Forecasting, Logistic Regression, Forecasting, Classification Algorithms, Dimensionality Reduction
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment
Intermediate · Professional Certificate · 3 - 6 Months

Cleveland Clinic
Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Healthcare 5.0, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Health Informatics, Data Structures
Intermediate · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Marketing Analytics, Customer Analysis, Marketing Effectiveness, Customer Retention, Advanced Analytics, Market Analysis, Sales Management, Customer Insights, Loyalty Programs, Data-Driven Decision-Making, Customer Service, Predictive Analytics, Business Metrics, Case Studies, R Programming, Performance Metric
Beginner · Course · 1 - 4 Weeks