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.

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Statistical Methods, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Predictive Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives
Advanced · Course · 1 - 3 Months

Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Differential Equations, Applied Mathematics, Advanced Mathematics, Linear Algebra, Calculus, Mathematical Modeling, Mathematical Theory & Analysis
Intermediate · Course · 1 - 3 Months

Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Differential Equations, Applied Mathematics, Advanced Mathematics, Calculus, Integral Calculus, Linear Algebra, Mathematical Theory & Analysis
Beginner · Course · 1 - 3 Months

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Model Optimization, Algorithms, Linear Algebra
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Finite Element Methods, Engineering Analysis, Mathematical Software, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, C++ (Programming Language), C and C++, Structural Engineering, Mechanics
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Applied Machine Learning, Data Preprocessing, Text Mining, Machine Learning, Big Data, Model Evaluation, Performance Metric
Intermediate · Course · 1 - 3 Months

New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Statistical Modeling, Predictive Modeling, Model Training, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Quantum computing, Probability, Linear Algebra, Probability & Statistics, Mathematics and Mathematical Modeling, Statistics, Applied Mathematics, Computer Science, Algebra, Physics
Beginner · Course · 1 - 4 Weeks

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Digital Signal Processing, Electrical Engineering, Communication Systems, Electronics, Telecommunications, Linear Algebra, Applied Mathematics
Intermediate · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Electronic Hardware, Systems Design, Computer Architecture, Electrical and Computer Engineering, Computer Engineering, Engineering Design Process, Electronics Engineering, Network Routing, Computational Logic, Electrical Engineering, Data Structures, Algorithms, Graph Theory, Applied Mathematics, Mathematical Modeling, Calculus
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Correlation Analysis, Histogram, Statistical Visualization, Box Plots
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Fine-tuning, Generative Model Architectures, Deep Learning, Autoencoders, Generative AI, Model Optimization, Artificial Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Network Architecture, Model Evaluation, Anomaly Detection, Computer Vision, Predictive Modeling
Advanced · Course · 1 - 4 Weeks