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.

University of Pennsylvania
Skills you'll gain: Environmental Social And Corporate Governance (ESG), Corporate Sustainability, Sustainable Business, Investments, Portfolio Risk, Equities, Investment Management, Return On Investment, Social Impact, Portfolio Management, Sustainability Reporting, Sustainability Standards, Environmental Issue, Stakeholder Analysis, Market Trend, Risk Analysis, Performance Measurement, Climate Change Mitigation, Corporate Finance, Correlation Analysis
Mixed · Course · 1 - 4 Weeks

Peking University
Skills you'll gain: Statistical Hypothesis Testing, SPSS, SPSS (Software), Statistical Analysis, Statistical Methods, Sampling (Statistics), Descriptive Statistics, Correlation Analysis, Statistical Software, Regression Analysis, Probability & Statistics, Statistics, Biostatistics, Quantitative Research, Statistical Inference, Analysis, Medical Science and Research, Data Manipulation
Mixed · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Machine Learning Algorithms, Classification Algorithms, Design Thinking, Python Programming
Advanced · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Calculus, Data Analysis Software, Mathematical Software, Applied Mathematics, Data Analysis, Analysis, Mathematical Theory & Analysis, Derivatives, Advanced Mathematics, Graphing, Algebra
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, Cloud Deployment, Model Training, IBM Cloud, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning Algorithms, Docker (Software), Machine Learning, Containerization, Data Science, Python Programming, Scalability, Design Thinking
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Microarchitecture, Computer Architecture, Computer Hardware, System Programming, Data Storage, Memory Management, Performance Tuning, Computational Logic, Computer Programming, C (Programming Language), Program Development, C# (Programming Language)
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Modeling, Graphing, Mathematical Modeling, Algebra, Trigonometry, Linear Algebra, Calculus, General Mathematics, Mathematical Software, Applied Mathematics, Geometry
Beginner · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Predictive Modeling, Predictive Analytics, Regression Analysis, Decision Tree Learning, Supervised Learning, Analytics, Logistic Regression, Descriptive Analytics, Model Training, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning
Intermediate · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Data Literacy, Statistical Methods, Data Analysis, Statistics, Regression Analysis, Sampling (Statistics), Statistical Analysis, Statistical Modeling, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference, Analytical Skills, Correlation Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Regression Analysis, Statistical Methods, Model Training, Data Visualization, Statistical Modeling, Plot (Graphics), Feature Engineering, Model Optimization, Predictive Modeling, Data Analysis, R Programming, Supervised Learning, Correlation Analysis, Probability & Statistics, Verification And Validation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Model Training, Machine Learning, Machine Learning Software, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Classification Algorithms, Random Forest Algorithm, Data Import/Export, Model Optimization, Data Manipulation
Intermediate · Course · 1 - 3 Months