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.

University of Washington
Skills you'll gain: Classification Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Probability & Statistics
★ 4.7 (3.7K) · Mixed · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Failure Analysis, Applied Machine Learning, Machine Learning, Decision Intelligence, Random Forest Algorithm, Email Automation, No-Code Development, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning Methods, Predictive Analytics, Automation Engineering, Model Training, Automation, Model Deployment, AI Workflows, Data-Driven Decision-Making, Continuous Monitoring, Estimation, Machine Learning Algorithms
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Process Modeling, Prompt Patterns, Generative AI, Prompt Engineering Tools, Business Workflow Analysis, Systems Analysis, AI Workflows, LLM Application, AI literacy, Process Optimization, Systems Architecture, Solution Architecture, Responsible AI, Software Architecture, Systems Thinking, Project Documentation, Machine Learning, Stakeholder Communications, Technical Consulting
★ 4.7 (12K) · Beginner · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Markov Model, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Correlation Analysis, Data Science, Decision Intelligence, Machine Learning Algorithms, Mathematical Theory & Analysis
★ 4.4 (364) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Cloud Deployment, Feature Engineering, Apache Spark, Model Training, AI Workflows, Machine Learning Software, Data Lakes, CI/CD, Model Evaluation, Applied Machine Learning, Data Store, Machine Learning, Development Environment, Statistical Machine Learning, Data Science, Machine Learning Algorithms, Python Programming
Advanced · Course · 1 - 3 Months
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Business Analytics, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Probability Distribution, Data Analysis
★ 4.8 (1.3K) · Mixed · Course · 1 - 4 Weeks

John Wiley & Sons
Skills you'll gain: Biochemistry, Molecular Biology, Molecular, Cellular, and Microbiology, Cell Biology, Physiology, Chemistry, Life Sciences, Biotechnology, Biology, Bioinformatics, Endocrinology, Nutrition and Diet, Diagnostic Tests
Beginner · Course · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: R (Software), Tidyverse (R Package), Web Scraping, Data Manipulation, Data Wrangling, R Programming, Data Transformation, Memory Management, Data Cleansing, Data Science, Statistical Programming, Data Integration, Data Processing, grep, Text Mining, Data Import/Export, Web Services, Data Analysis, Data Structures
★ 4.3 (1.2K) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 3 - 6 Months
Stanford Online
Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization
★ 4.6 (1.6K) · Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Fine-tuning, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Training, Transfer Learning, Generative AI, Large Language Modeling, Natural Language Processing, Hugging Face, Generative Model Architectures, Data Preprocessing, Model Optimization, Data Processing, Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Financial Modeling, Financial Statement Analysis, Management Consulting, Strategic Planning, Business Strategy, Data Presentation, Business Consulting, Data Visualization, Stakeholder Engagement, Business Analysis, Stakeholder Management, Generative AI, Microsoft Excel, Problem Solving, Requirements Analysis, Process Improvement, Change Management, Lean Six Sigma, Key Performance Indicators (KPIs), Communication
★ 4.7 (5K) · Beginner · Professional Certificate · 3 - 6 Months