Mathematical model courses can help you learn statistical analysis, optimization techniques, differential equations, and simulation methods. You can build skills in data interpretation, problem-solving, and applying quantitative reasoning to real-world situations. Many courses introduce tools like MATLAB, R, and Python, that support creating and analyzing models, enabling you to visualize complex data and derive meaningful insights.

University of Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Artificial Intelligence, Data Preprocessing, Deep Learning, Data Mining, Decision Tree Learning, Computer Vision, Statistical Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Malware Protection, Identity and Access Management, Incident Response, Cybersecurity, Network Security, Threat Detection, Cyber Attacks, Authentications, Security Awareness, Digital Forensics, Security Controls, Infrastructure Security, Multi-Factor Authentication, Human Factors (Security)
Beginner · Course · 1 - 3 Months
Macquarie University
Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Modeling, Financial Forecasting, Data Integrity, Business Modeling, Automation
Intermediate · Course · 1 - 3 Months

Dartmouth College
Skills you'll gain: Classification Algorithms
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Intermediate · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: ArcGIS, GIS Software, Spatial Analysis, Data Storytelling, Spatial Data Analysis, Geographic Information Systems, Data Presentation, Geospatial Information and Technology, Geospatial Mapping, Public Health and Disease Prevention, Data Sharing, Public Health, Land Management, Heat Maps, Epidemiology, Community Health, Image Analysis, Project Management, Data Visualization Software, Data Quality
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Plotly, Predictive Modeling, Exploratory Data Analysis, Data Storytelling, Statistical Machine Learning, Data Science, Business Analytics, Data-Driven Decision-Making, Pandas (Python Package), Data Analysis, Web Scraping, Data Wrangling, Model Evaluation, Python Programming, SQL, GitHub
Intermediate · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Time Management, Scheduling, Strategic Prioritization, Productivity Software, Professionalism, Planning, Overcoming Obstacles, Communication Strategies, Crisis Management
Beginner · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Data Governance, SQL, Data Management, Data Quality, Database Design, Query Languages, Data Literacy, Data Manipulation, Data Modeling, Relational Databases, Data Science, Databases, Data Analysis, Data Transformation
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms
Beginner · Course · 1 - 4 Weeks

Erasmus University Rotterdam
Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Data Analysis, Analytics, Statistical Analysis, Statistics, Case Studies, Forecasting, Model Evaluation, Probability, Linear Algebra, Peer Review
Mixed · Course · 1 - 3 Months
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture
Intermediate · Specialization · 3 - 6 Months