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.

Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Data-Driven Decision-Making, Model Training, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Development Environment
★ 4 (20) · Beginner · Project · Less Than 2 Hours

MathWorks
Skills you'll gain: AI literacy, Generative AI, LLM Application, Matlab, Code Reusability
★ 4.8 (12) · Beginner · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus
★ 4 (3.2K) · Intermediate · Course · 1 - 4 Weeks

The Hong Kong University of Science and Technology
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Numerical Analysis
★ 4.9 (4.7K) · Beginner · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Machine Learning Methods, Numerical Analysis, Applied Machine Learning, Applied Mathematics, Linear Algebra, Artificial Neural Networks, Deep Learning, Mathematical Theory & Analysis, Derivatives
★ 4.7 (5.8K) · Beginner · Course · 1 - 3 Months
Icahn School of Medicine at Mount Sinai
Skills you'll gain: Matlab, Bioinformatics, Mathematical Software, Quantitative Research, Unsupervised Learning, Data Synthesis, Research, Mathematical Modeling, Molecular Biology, Simulation and Simulation Software, Pharmacology, Science and Research, Cell Biology, Biotechnology, Laboratory Research, Molecular, Cellular, and Microbiology, General Science and Research, Life Sciences, Network Analysis, Biology
★ 4.4 (990) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Data Visualization, Data Presentation, Model Training, Exploratory Data Analysis, Machine Learning Methods, Applied Machine Learning, Model Optimization, Data Science, Machine Learning, Data Wrangling, Data Analysis, Data Preprocessing, Matlab, Data Processing, Technical Communication, Predictive Modeling, Data Import/Export
★ 4.7 (25) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Histogram, Plot (Graphics), Data Visualization, Seaborn, Scatter Plots, Data Visualization Software, Scientific Visualization, Interactive Data Visualization, Statistical Visualization, Exploratory Data Analysis, Graphing, Python Programming
★ 4.6 (78) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Analysis
★ 4.5 (392) · Beginner · Guided Project · Less Than 2 Hours

Corporate Finance Institute
Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization, Pandas (Python Package), NumPy, Data Analysis, Seaborn, Data Storytelling, Data Cleansing, Data Presentation, Data Analysis Software, Data Wrangling, Data Manipulation, Jupyter, Data Quality, Exploratory Data Analysis, Data Transformation, Statistical Methods, Statistical Analysis, Python Programming
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Code Reusability, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Data Analysis, Computer Programming, Model Optimization
★ 4.8 (21) · Beginner · Course · 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Model Evaluation, Supervised Learning, Model Training, Scikit Learn (Machine Learning Library), Tensorflow, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Machine Learning Algorithms, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Model Optimization, Embeddings, Pandas (Python Package), Natural Language Processing
★ 3.9 (9) · Beginner · Course · 1 - 3 Months