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.

Universitat Politècnica de València
Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics, Arithmetic
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, General Mathematics, Analytical Skills, Probability & Statistics, Geometry
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
Beginner · Specialization · 3 - 6 Months

University of North Texas
Skills you'll gain: Arithmetic, Probability & Statistics, Graphing, Geometry, Statistics, Algebra, Applied Mathematics, Systems Of Measurement
Beginner · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Algebra, General Mathematics, Arithmetic, Applied Mathematics, Geometry
Mixed · Course · 1 - 3 Months

The University of Sydney
Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Vector Databases, Engineering Analysis, Computational Logic
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics
Beginner · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming
Beginner · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods
Intermediate · Specialization · 1 - 3 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Arithmetic, Computational Logic
Beginner · Course · 1 - 4 Weeks

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Data Analysis, Machine Learning, Dimensionality Reduction, Artificial Neural Networks, Data Manipulation
Beginner · Course · 1 - 3 Months
Algebra is a branch of mathematics that deals with symbols and the rules for manipulating those symbols. It is essential because it provides a foundation for various fields, including science, engineering, economics, and technology. Understanding algebra helps in problem-solving and analytical thinking, which are crucial skills in both academic and real-world scenarios.
Jobs that involve algebra skills can be found in various sectors, including finance, engineering, data analysis, and education. Positions such as data analyst, financial analyst, engineer, and educator often require a solid understanding of algebraic concepts. These roles leverage algebra to interpret data, solve problems, and make informed decisions.
To learn algebra effectively, you should focus on developing skills such as problem-solving, critical thinking, and logical reasoning. Familiarity with basic mathematical operations, understanding variables and equations, and the ability to manipulate expressions are also crucial. Building a strong foundation in these areas will enhance your algebraic proficiency.
Some of the best online algebra courses include the Algebra: Elementary to Advanced Specialization and the Honors Algebra 2 Specialization. These courses cover a range of topics and are designed to cater to different skill levels, making them suitable for various learners.
To learn algebra, start by reviewing basic mathematical concepts and gradually progress to more complex topics. Utilize online resources, such as video lectures and practice exercises, to reinforce your understanding. Engaging with interactive tools and joining study groups can also enhance your learning experience and provide support.
Yes. You can start learning algebra on Coursera for free in two ways:
If you want to keep learning, earn a certificate in algebra, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
Typical topics covered in algebra courses include variables, equations, inequalities, functions, polynomials, and graphing. More advanced courses may explore topics like linear equations, quadratic functions, and systems of equations. These subjects form the backbone of algebra and are essential for further studies in mathematics and related fields.
For training and upskilling employees, courses like the Algebra: Elementary to Advanced - Equations & Inequalities and Algebra and Differential Calculus for Data Science are excellent choices. These courses provide practical applications of algebra in professional settings, helping employees enhance their analytical skills.