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.

University of Colorado Boulder
Skills you'll gain: Predictive Modeling, Predictive Analytics, Model Evaluation, Exploratory Data Analysis, Logistic Regression, Data Presentation, Business Analytics, Analytics, Statistical Visualization, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Classification And Regression Tree (CART), Data Analysis, Applied Machine Learning, Classification Algorithms, Data Analysis Software, Microsoft Excel, Data Preprocessing, Data Cleansing
★ 3.6 (606) · 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 (147) · Intermediate · Course · 1 - 4 Weeks

Rice University
Skills you'll gain: Torque (Physics), Mechanics, Physics, Physical Science, Mechanical Engineering, Trigonometry, Calculus, Mathematical Modeling, Applied Mathematics, Problem Solving
★ 4.7 (102) · Intermediate · Course · 1 - 4 Weeks

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
★ 3.6 (16) · Beginner · Specialization · 1 - 3 Months

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 (385) · Intermediate · Course · 1 - 4 Weeks

University of Toronto
Skills you'll gain: Robotics, Network Routing, Graph Theory, Algorithms, Artificial Intelligence, Simulations, Predictive Modeling, Scenario Testing
★ 4.8 (487) · 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 (168) · Intermediate · 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)
★ 4.7 (82) · Beginner · Course · 1 - 3 Months

Rice University
Skills you'll gain: Mechanics, Physics, Mechanical Engineering, Calculus, Physical Science, Problem Solving
★ 4.5 (48) · Intermediate · Course · 1 - 4 Weeks

Alberta Machine Intelligence Institute
Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Model Training, Data Validation, Data Cleansing, Data Ethics, Data Transformation, Model Optimization, Verification And Validation, Applied Machine Learning, Machine Learning, Responsible AI, Machine Learning Algorithms, Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis
★ 4.4 (98) · Intermediate · 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 (305) · Intermediate · Course · 1 - 3 Months

New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Machine Learning Software, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Market Data, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks
★ 3.7 (345) · Intermediate · Course · 1 - 4 Weeks