Algebra Courses
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.
Popular Algebra Courses and Certifications
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation
University of Minnesota
Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Numerical Analysis, Statistical Methods, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming
Shanghai Jiao Tong University
Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Computational Thinking, Algorithms, Data Structures, Computer Science
Tecnológico de Monterrey
Skills you'll gain: Education Software and Technology, Calculus, Applied Mathematics, Algebra, Mathematical Modeling, Mathematics Education, Graphing, Derivatives
Rice University
Skills you'll gain: Basic Electrical Systems, Electrical Engineering, electromagnetics, Physics, Engineering Analysis, Engineering Calculations, Mathematical Modeling, Problem Solving, Applied Mathematics, Advanced Mathematics, Electronic Components, Mathematical Theory & Analysis, Calculus, Differential Equations, Integral Calculus, Trigonometry, Derivatives
Tecnológico de Monterrey
Skills you'll gain: Advanced Mathematics, Calculus, Applied Mathematics, Mathematical Software, Mathematical Modeling, Mathematical Theory & Analysis, Digital pedagogy, Algebra, Graphing, Derivatives, Graphical Tools
Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Differential Equations, Applied Mathematics, Advanced Mathematics, Calculus, Linear Algebra, Engineering Analysis, Mathematical Theory & Analysis
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives
Universidad Autónoma Metropolitana
Skills you'll gain: Graphing, Geometry, Advanced Mathematics, Visualization (Computer Graphics), General Mathematics, Algebra, Mathematical Modeling, Applied Mathematics
Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus
Tecnológico de Monterrey
Skills you'll gain: Applied Mathematics, Algebra, Mathematical Modeling, Graphing, Advanced Mathematics, Mathematical Software, Calculus, Mathematical Theory & Analysis, Integral Calculus, Derivatives
École normale supérieure
Skills you'll gain: Algebra, Linear Algebra, Combinatorics, Advanced Mathematics, Mathematics and Mathematical Modeling, Arithmetic
In summary, here are 10 of our most popular algebra courses
- Natural Language Processing with Attention Models:Â DeepLearning.AI
- Matrix Methods:Â University of Minnesota
- Discrete Mathematics:Â Shanghai Jiao Tong University
- 2.- El Cálculo - Modelo Cuadrático: Tecnológico de Monterrey
- Physics 102 - AC Circuits and Maxwell's Equations:Â Rice University
- 4.- El Cálculo - Otros Modelos: Tecnológico de Monterrey
- Differential Equations Part II Series Solutions:Â Korea Advanced Institute of Science and Technology(KAIST)
- Advanced Linear Models for Data Science 1: Least Squares:Â Johns Hopkins University
- GeometrÃa AnalÃtica Preuniversitaria: Universidad Autónoma Metropolitana
- Mathematics for Machine Learning: PCA:Â Imperial College London
