What skills can I learn from Abstract Algebra courses on Coursera?

Abstract Algebra courses on Coursera teach critical mathematical skills and concepts that are foundational in higher mathematics: Understanding and working with algebraic structures such as groups, rings, and fields. Developing skills in reasoning and logical thinking through proofs and problem-solving. Techniques for solving polynomial equations and analyzing their structures. Application of algebraic theories to other areas of mathematics like number theory and geometry. Exploration of symmetry, transformation, and their mathematical implications.

Do I need prior experience in mathematics to start these courses?

Abstract Algebra courses are generally suited for those with some mathematical background: Beginners in the realm of advanced mathematics might need introductory courses in linear algebra or calculus before starting Abstract Algebra. Intermediate learners who have a basic understanding of college-level mathematics can begin exploring fundamental concepts in Abstract Algebra. Advanced students or professionals who already have experience in mathematics can dive into more complex topics and applications within the field. These courses are structured to help learners of varying levels gain a deep understanding of algebraic structures and their applications.

What certifications and credentials can I earn through Abstract Algebra courses on Coursera?

Completing Abstract Algebra courses on Coursera can lead to various academic and professional enhancements: Certificates of completion that demonstrate your understanding of complex mathematical concepts. Professional certificates that can be integral to academic progression or careers in mathematics, science, or engineering. Specializations that focus deeply on specific aspects of Abstract Algebra or its applications in other scientific disciplines. These credentials can be particularly valuable for students pursuing graduate studies or professionals in scientific and technological fields where advanced mathematics is crucial.

What career opportunities are available with skills in Abstract Algebra?

Skills acquired from Abstract Algebra courses are highly valued in numerous advanced academic and research-oriented careers: Academic careers in mathematics, where you can contribute to teaching and advanced research. Roles in cryptography and security analysis, where algebraic concepts are applied to develop new encryption methods. Computational sciences, including algorithm design and software development, where abstract algebraic principles are increasingly employed. Engineering fields, particularly those that involve signal processing, control theory, and robotics, which use algebraic structures to model complex systems. Financial sectors that utilize algebra for quantitative analysis and financial modeling. Skills in Abstract Algebra can significantly enhance your analytical capabilities, opening up opportunities in fields that rely on high-level mathematics.

Top Abstract Algebra Courses - Learn Abstract Algebra Online

Skip to search results

Filter by

Subject
Required

Computer Science(103)

Data Science(90)

Physical Science and Engineering(84)

Math and Logic(81)

Language
Required

The language used throughout the course, in both instruction and assessments.

English(318)

Spanish(228)

French(212)

Arabic(202)

Learning Product
Required

Guided Projects(4)

Build job-relevant skills in under 2 hours with hands-on tutorials.

Courses(321)

Learn from top instructors with graded assignments, videos, and discussion forums.

Specializations(46)

Get in-depth knowledge of a subject by completing a series of courses and projects.

Professional Certificates(1)

Earn career credentials from industry leaders that demonstrate your expertise.

MasterTrack® Certificates(1)

Earn career credentials while taking courses that count towards your Master’s degree.

Degrees(5)

Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.

Graduate Certificates(1)

Earn a university-issued career credential in a flexible, interactive format.

Level
Required

Beginner(105)

Intermediate(183)

Advanced(36)

Mixed(48)

Duration
Required

Less Than 2 Hours(4)

1-4 Weeks(146)

1-3 Months(176)

3-6 Months(46)

6-12 Months(2)

1-4 Years(5)

Skills
Required

Linear Algebra(191)

Applied Mathematics(159)

Mathematical Modeling(148)

Calculus(92)

Subtitles
Required

English(330)

Spanish(242)

French(224)

Arabic(207)

Educator
Required

University of Colorado Boulder(45)

Johns Hopkins University(32)

Packt(22)

Rice University(16)

Explore the Abstract Algebra Course Catalog

Status: Free Trial
The Hong Kong University of Science and Technology
Mathematics for Engineers
Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking, Estimation
4.8
Rating, 4.8 out of 5 stars
7.5K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
The Hong Kong University of Science and Technology
Matrix Algebra for Engineers
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics
4.9
Rating, 4.9 out of 5 stars
4.5K reviews
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Packt
Advanced Object-Oriented & Generic Programming in C++
Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Software Design Patterns, Data Structures, Algorithms, File Systems, Debugging, Maintainability
Intermediate · Course · 1 - 3 Months
University of North Texas
Math Prep: College & Work Ready
Skills you'll gain: Arithmetic, Probability & Statistics, Graphing, Geometry, Statistics, Algebra, Applied Mathematics, Systems Of Measurement
4.5
Rating, 4.5 out of 5 stars
299 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Linear Algebra: Linear Systems and Matrix Equations
Skills you'll gain: Linear Algebra, Algebra, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry
4.7
Rating, 4.7 out of 5 stars
138 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
DeepLearning.AI
Mathematics for Machine Learning and Data Science
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Python Programming, Jupyter, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
2.7K reviews
Intermediate · Specialization · 1 - 3 Months
The University of Sydney
Introduction to Linear Algebra
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, Engineering Analysis
4.9
Rating, 4.9 out of 5 stars
30 reviews
Intermediate · Course · 1 - 4 Weeks
Universidad Nacional Autónoma de México
Álgebra básica
Skills you'll gain: Algebra, General Mathematics, Arithmetic, Applied Mathematics, Geometry
4.8
Rating, 4.8 out of 5 stars
3.6K reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
DeepLearning.AI
Linear Algebra for Machine Learning and Data Science
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Python Programming, Image Analysis, Artificial Intelligence
4.6
Rating, 4.6 out of 5 stars
2K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Imperial College London
Mathematics for Machine Learning
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Machine Learning Methods, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months
Birla Institute of Technology & Science, Pilani
Basic Mathematics
Skills you'll gain: Integral Calculus, Calculus, Trigonometry, Algebra, Differential Equations, Linear Algebra, Derivatives
4.5
Rating, 4.5 out of 5 stars
141 reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Free Trial
Google
Use AI as a Creative or Expert Partner
Skills you'll gain: Prompt Engineering, Generative AI Agents, ChatGPT, AI Personalization, Generative AI, Artificial Intelligence, Simulations
4.8
Rating, 4.8 out of 5 stars
68 reviews
Beginner · Course · 1 - 4 Weeks

Abstract Algebra learners also search

Theoretical Computer Science

Quantum Computing

Calculus

Mathematics

1 2 3 4…32

In summary, here are 10 of our most popular abstract algebra courses

Mathematics for Engineers: The Hong Kong University of Science and Technology
Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
Advanced Object-Oriented & Generic Programming in C++: Packt
Math Prep: College & Work Ready: University of North Texas
Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
Mathematics for Machine Learning and Data Science: DeepLearning.AI
Introduction to Linear Algebra: The University of Sydney
Álgebra básica: Universidad Nacional Autónoma de México
Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
Mathematics for Machine Learning: Imperial College London

Abstract Algebra Courses Online