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.

Skills you'll gain: 3D Assets, 3D Modeling, Data Import/Export, Graphics Software, File Management, Computer Graphic Techniques
Mixed · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Governance, Data Management, AI Workflows, Predictive Modeling, Machine Learning, Data Pipelines, Feature Engineering, Model Evaluation, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: 3D Modeling, Computer Graphics, Visualization (Computer Graphics), Color Theory
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Deep Learning, Transfer Learning, Image Analysis, Model Deployment, Convolutional Neural Networks, Keras (Neural Network Library), Applied Machine Learning, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Target Audience, Verbal Communication Skills, Crisis Management, Brand Strategy, Brand Awareness, Communication, Trustworthiness, Branding, Public Speaking, Brand Management, Storytelling, Professional Development, Personal Attributes, Social Media Content, Technology Strategies, Digital Media Strategy
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Workforce Management, Advanced Analytics, Classification Algorithms
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Generative AI, Model Deployment, Natural Language Processing
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Big Data, Serverless Computing, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Model Deployment, Data Preprocessing, Big Data, Cloud Infrastructure, Machine Learning, Natural Language Processing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Analysis, R Programming, Predictive Analytics, Exploratory Data Analysis, Supervised Learning, Statistical Analysis, Correlation Analysis, Probability & Statistics, Data Manipulation, Linear Algebra, Statistical Hypothesis Testing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Tensorflow, Data Preprocessing, Deep Learning, Embeddings, Model Deployment, Applied Machine Learning, Python Programming, Supervised Learning, NumPy, Model Evaluation
Mixed · Course · 1 - 4 Weeks