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.
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing
Advanced · Course · 1 - 3 Months
Skills you'll gain: SAS (Software), Network Analysis, Trend Analysis, Data Manipulation, Data Analysis, Forecasting, Data Quality, Text Mining, Data Visualization Software, Spatial Analysis, Dashboard, Analysis, Analytics, Data Visualization, Time Series Analysis and Forecasting, Business Analytics, Interactive Data Visualization, Data-Driven Decision-Making, Predictive Analytics, Business Reporting
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: LLM Application, Prompt Engineering, Performance Tuning, Performance Testing, Tool Calling, Responsible AI, A/B Testing, Application Performance Management, Retrieval-Augmented Generation, Model Evaluation, OpenAI API, Scalability, API Design
Intermediate · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Statistical Modeling, R (Software), Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Probability Distribution
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
Advanced · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Data Visualization, Data Manipulation, Logistic Regression, Predictive Modeling, Statistical Hypothesis Testing, Model Evaluation
Beginner · Course · 3 - 6 Months

Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, AI Workflows, Generative Model Architectures, Model Deployment, Hugging Face, Programming Principles, Computer Programming, Transfer Learning, Application Deployment, Context Management, Embeddings, User Interface (UI), Model Evaluation, Vector Databases, Debugging, Software Installation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture
Intermediate · Course · 1 - 3 Months
Coursera
Skills you'll gain: Experimentation, Business Metrics, Data Storytelling, Return On Investment, Model Evaluation, Dashboard, Performance Measurement, Business Valuation, Key Performance Indicators (KPIs), A/B Testing, Performance Analysis, Analysis, Product Management, Machine Learning, Financial Analysis, Business, Stakeholder Communications, Sample Size Determination, Power Electronics
Intermediate · Course · 1 - 4 Weeks

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