Courses in MATLAB often teach numerical analysis, data visualization, algorithm development, and simulation techniques. You can build skills in matrix manipulation, function creation, and data processing, that support engineering and scientific applications. Many courses also introduce tools like Simulink for modeling and simulation, as well as various toolboxes that enhance MATLAB's capabilities, allowing you to apply your skills in fields such as robotics, finance, and artificial intelligence.

Northwestern University
Skills you'll gain: Robotics, Mathematical Modeling, Mathematical Software, Engineering Calculations, Applied Mathematics, Engineering Analysis, Mechanics, Simulation and Simulation Software, Engineering, Virtual Environment, Torque (Physics), Numerical Analysis
Intermediate · Course · 1 - 4 Weeks
University of Washington
Skills you'll gain: Network Model, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Matlab, Mathematical Modeling, Computational Thinking, Recurrent Neural Networks (RNNs), Applied Mathematics, Physiology, Biology, Linear Algebra, Differential Equations, Probability & Statistics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Matplotlib, Data Import/Export, Unstructured Data, Data Collection
Intermediate · Course · 1 - 4 Weeks

Northwestern University
Skills you'll gain: Digital Signal Processing, Image Analysis, Computer Vision, Visualization (Computer Graphics), Matlab, Mathematical Modeling, Color Theory, Applied Mathematics
Mixed · Course · 1 - 3 Months

University at Buffalo
Skills you'll gain: Data Storytelling, Statistical Process Controls, Data Presentation, Data Visualization Software, Data-Driven Decision-Making, Business Analytics, Tableau Software, Data Analysis, Minitab, Data Cleansing, Statistical Analysis, Data Quality, Process Analysis, Business Process, Key Performance Indicators (KPIs), Matlab
Beginner · Course · 1 - 4 Weeks

Edge Impulse
Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Digital Signal Processing, Image Analysis, Computer Vision, Computer Graphics, Visualization (Computer Graphics), Medical Imaging, Spatial Analysis, Linear Algebra, Matlab, Mathematical Modeling, Histogram
Mixed · Course · 1 - 3 Months

Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Package and Software Management, Data Science, Computer Programming, Mathematical Software
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
Mixed · Course · 1 - 4 Weeks