Mathematical optimization courses can help you learn linear programming, integer programming, and nonlinear optimization techniques. You can build skills in formulating optimization problems, analyzing constraints, and applying algorithms to find optimal solutions. Many courses introduce tools like Python, R, and MATLAB, which are used to implement optimization models and analyze data effectively.

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

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives
Advanced · Course · 1 - 3 Months
Skills you'll gain: Waste Minimization, Environmental Social And Corporate Governance (ESG), Sustainable Technologies, Environmental Regulations, Environmental Monitoring, Sustainable Design, Sustainability Reporting, Corporate Sustainability, Compliance Management, Regulatory Compliance, Manufacturing and Production, Manufacturing Processes, Energy and Utilities, Operational Efficiency, Materials science, AI Enablement, Internet Of Things, Climate Change Mitigation, Capital Markets, Innovation
Intermediate · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Data Structures, Verification And Validation, Computer Architecture, Systems Design, Algorithms, Computer Engineering, Mathematical Software, Design Software, Computer Programming Tools, Debugging, Digital Design, Software Development Tools
Intermediate · Course · 1 - 3 Months

Tecnológico de Monterrey
Skills you'll gain: Advanced Mathematics, Calculus, Applied Mathematics, Mathematical Software, Mathematical Modeling, Mathematical Theory & Analysis, Digital pedagogy, Algebra, Graphing, Derivatives, Graphical Tools
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Unity Engine, Computer Graphics, Computer Graphic Techniques, Visualization (Computer Graphics), Augmented and Virtual Reality (AR/VR), Animations, Video Game Development, Performance Tuning, Image Quality, Debugging
Mixed · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Tensorflow, Artificial Neural Networks, Classification Algorithms, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning Methods, Model Evaluation, Data Preprocessing, Regression Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: AWS Kinesis, Apache Kafka, Amazon Redshift, Data Lakes, Real Time Data, Data Management, Apache Hive, Apache Spark, Amazon S3, Data Pipelines, Data Processing, Big Data, Apache Hadoop, AWS Identity and Access Management (IAM), Query Languages, Serverless Computing, Scalability
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis
Intermediate · Course · 1 - 3 Months

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Image Analysis, Telecommunications, Electrical and Computer Engineering, Electrical Engineering, Embedded Systems, Electronic Systems, Engineering Analysis, Electronics, Programming Principles, Numerical Analysis, Algorithms, Linear Algebra, Mathematical Modeling, Time Series Analysis and Forecasting, Data Mapping, Real Time Data, Computer Programming
Intermediate · Specialization · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Big Data, Applied Machine Learning, Generative Adversarial Networks (GANs), Machine Learning, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Deep Learning, Model Evaluation, Algorithms, Data Analysis, Process Improvement and Optimization, Artificial Neural Networks
Mixed · Course · 1 - 3 Months
University of Washington
Skills you'll gain: Machine Learning Methods, Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Probability Distribution
Beginner · Course · 1 - 3 Months