Algebra courses can help you learn solving equations, working with inequalities, and understanding functions and their graphs. You can build skills in manipulating algebraic expressions, factoring polynomials, and applying algebraic concepts to real-life problems. Many courses introduce tools like graphing calculators and software for visualizing functions, which enhance your ability to analyze data and model relationships.

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Telecommunications, Numerical Analysis, Systems Analysis, Jupyter
★ 4.7 (198) · Intermediate · Course · 1 - 4 Weeks

Rice University
Skills you'll gain: Combinatorics, Probability, Programming Principles, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Software Testing, Applied Mathematics, Algorithms, Python Programming, Game Design, General Mathematics
★ 4.7 (584) · Intermediate · Course · 1 - 3 Months

University of Toronto
Skills you'll gain: Robotics, Network Routing, Graph Theory, Algorithms, Simulations, Predictive Modeling, Scenario Testing
★ 4.8 (486) · Advanced · Course · 1 - 3 Months

Edge Impulse
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Deep Learning, Model Deployment, Data Ethics, Responsible AI, Model Training, Machine Learning, Computer Programming, Classification Algorithms, Model Evaluation, Python Programming
★ 4.8 (164) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Statistical Modeling, Statistical Machine Learning, Applied Machine Learning, Data Transformation, Model Evaluation, Unsupervised Learning, Dimensionality Reduction
★ 4.5 (144) · Intermediate · Course · 1 - 4 Weeks

Rice University
Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming, Program Development
★ 4.6 (384) · Intermediate · Course · 1 - 4 Weeks

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Image Analysis, Applied Machine Learning, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Image Quality, Feature Engineering, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks
★ 4.7 (183) · Intermediate · Course · 3 - 6 Months

University of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Plot (Graphics), Statistics, Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
★ 3.8 (12) · Beginner · Specialization · 1 - 3 Months

University of Colorado System
Skills you'll gain: Cryptography, Cybersecurity, Encryption, Public Key Cryptography Standards (PKCS), Data Integrity
★ 4.5 (428) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Field-Programmable Gate Array (FPGA), Computational Logic, Computer Architecture, Hardware Design, Hardware Architecture, Memory Management, Electronics, Electronic Systems, Electronic Components, Diagram Design, Data Storage, Data Storage Technologies, Algorithms
★ 4.5 (130) · Intermediate · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Cryptography, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science
★ 4.6 (334) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Machine Learning, Artificial Intelligence, Computer Vision
★ 4.6 (294) · Intermediate · Course · 1 - 3 Months