Linear Algebra courses can help you learn vector spaces, matrix operations, eigenvalues, and linear transformations. You can build skills in solving systems of equations, performing dimensionality reduction, and applying concepts to data analysis and machine learning. Many courses introduce tools such as MATLAB, Python libraries like NumPy, and software for computational mathematics, that support implementing algorithms and visualizing data in various applications, including artificial intelligence and AI-driven models.

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

Dassault Systèmes
Skills you'll gain: SolidWorks (CAD), Computer-Aided Design, Engineering Drawings, Technical Drawing, 3D Modeling, Mechanical Engineering
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Supervised Learning, Linear Algebra, Calculus
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Timelines, Database Management, Databases, Project Schedules, Data Visualization, Calendar Management, Workflow Management, Information Architecture, Kanban Principles, Collaborative Software, Content Development and Management
Mixed · Course · 1 - 3 Months

Coursera
Skills you'll gain: Wireframing, User Flows, Web Design, Prototyping, User Interface (UI), Mockups, Information Architecture, User Interface and User Experience (UI/UX) Design, Web Development
Beginner · Guided Project · Less Than 2 Hours

University of Pittsburgh
Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Interactive Data Visualization, Data Mapping, Network Analysis, Diagram Design, Information Architecture
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Feature Engineering, Data Analysis, Statistics, Exploratory Data Analysis, Probability & Statistics, Data Visualization Software, Correlation Analysis, Applied Machine Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: SAS (Software), Descriptive Statistics, Market Data, Risk Modeling, Regression Analysis, Statistical Methods, Financial Modeling, Statistical Hypothesis Testing, Correlation Analysis, Data Analysis Software, Statistical Analysis, Quantitative Research, Financial Market, Time Series Analysis and Forecasting, Trend Analysis, Financial Analysis, Variance Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Embeddings, Semantic Web, Natural Language Processing, Data Processing, Text Mining, Applied Machine Learning, Classification Algorithms, Unsupervised Learning, Dimensionality Reduction, Linear Algebra
Intermediate · Course · 1 - 4 Weeks