Best Online Math Courses

If you are searching for math courses to improve your mathematical skills and passionate about studying free courses related to this field. Then you have the right opportunity.

Here we have designed a list which includes the Best Online Math Courses that will improve your outlook and boost your marketability.

Have a look at the given online math courses offered by the well-recognized universities or institution. Find the best one according to your requirement. Good Luck!!

Queuing Theory: from Markov Chains to Multi-Server Systems

Institut Mines-Telecom is offering Queuing Theory: from Markov Chains to Multi-Server Systems free online course for outstanding students. In this course, you’ll learn how to describe a queuing system statistically, how to model the random evolution of queue lengths over time. You should have some knowledge of basic statistical theory and probability must be required for the course.

Provider: Institut Mines-Telecom
Subject: Math
Duration: 5 weeks
Start Date: Future Dates to be announced
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Calculus 1B: Integration

Massachusetts Institute of Technology is proud to provide Calculus 1B: Integration free online course. This course, in combination with Parts 1 and 3, covers the AP* Calculus BC curriculum and also was funded in part by the Wertheimer Fund. In this course, you will study some differential equation models for physical phenomena and solutions, the geometric interpretation, and physical meaning of the integral.

Provider: Massachusetts Institute of Technology
Subject: Math
Duration: 15 weeks
Start Date: Future Dates to Be Announced
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Calculus 1A: Differentiation

The Massachusetts Institute of Technology is accepting applications for Calculus 1A: Differentiation free online course .what is the derivative? You will learn its mathematical notation, physical meaning, geometric interpretation, and be able to move fluently between these representations of the derivative you’ll discover a way to differentiate any operate you’ll dream up, and develop a strong intuition to be ready to sketch the graph of the many functions

Provider: Massachusetts Institute of Technology
Subject: Math
Duration: 12 weeks
Start Date: Future Dates to be announced
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Mathematics for Machine Learning: PCA

Imperial College London is pleased to announce Mathematics for Machine Learning free online course that is cover some basic statistics of data sets, such as mean values and variances, we’ll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto lower-dimensional subspaces

Provider: Imperial College London
Subject: Data Science
Duration: 4 Weeks
Start Date: Open
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Discrete Mathematics

If you’re keen to use your mathematical skills in your chosen career? So here you have a great chance to make your career in this field. Shanghai Jiao Tong University is happy to announce Discrete Mathematics free online course this course Discrete mathematics forms the mathematical foundation of computer and information science. It is also a fascinating subject in itself.

Provider: Shanghai Jiao Tong University
Subject: Math and Logic
Duration: 11 Weeks
Start Date: Open
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Mathematics for Machine Learning Specialization

Imperial College London is delighted to announce Mathematics for Machine Learning Specialization free online course in the first course on Linear Algebra, you will see at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them. In this course; you will learn Mathematics for Machine Learning. Learn about the prerequisite mathematics for applications in data science and machine learning

Provider: Imperial College London
Subject: Data Science
Duration: 3/4 hours a week for 3 to 4 months
Start Date: Open
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Mathematics for Machine Learning: Linear Algebra

Ready to learn mathematics? Imperial College London is offered Mathematics for Machine Learning: Linear Algebra free online course in this course on Linear Algebra, this course teaches you at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems.

Provider: Imperial College London
Subject: Data Science
Duration: 4 Weeks
Start Date: Open
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Introduction to Discrete Mathematics for Computer Science Specialization

University Of California gives you a chance to apply for a free online course named as “Introduction to Discrete Mathematics for Computer Science Specialization” Discrete Math is needed to see mathematical structures in the object This ability is important for software engineers, data scientists, security and financial analysts (it is not a coincidence that math puzzles are often used for interviews).

Provider: University Of California
Subject: Computer Science
Duration: 6-8 months.
Start Date: Open
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Mathematics for Machine Learning: Multivariate Calculus

Applicants are invited to become a part of “Mathematics for Machine Learning: Multivariate Calculus” course offered by the Imperial College London This course is intended to offer an intuitive understanding of calculus, as well as the language necessary to look concepts up yourselves when you get stuck. Hopefully, without going into too much detail, you’ll still come away with the confidence to dive into some more focused machine learning courses in the future.

Provider: Imperial College London
Subject: Math and Logic
Duration: 4 Weeks
Start Date: Open
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Mathematics for Computer Science

The Imperial College London is happy to announce its free online course named as “Mathematics for Computer Science “Welcome to Introduction to Numerical Mathematics. This is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games.

Provider: The Imperial College London
Subject: Math and Logic
Duration: 4 Weeks
Start Date: Open
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Mathematics for economists

Understand how to use analytics to improve marketing results with this free online course named as “Mathematics for economists” developed by National Research University Higher School of Economics. The course is aimed at teaching students to master comparative statics problems, optimization problems using the acquired mathematical tools. If you wish to take it further you can join the BSc Computer Science degree and complete the full module ‘Numerical Mathematics.

Provider: National Research University Higher School of Economic
Subject: Math and Logic
Duration: 4 Weeks
Start Date: Open
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Data Science: Probability

The Harvard University of Business is offering you a free online course entitled as “Data Science: Probability” In this course, part of our Professional Certificate Program in Data Science, you will learn valuable concepts in probability theory and also you learn Important concepts in probability theory including random variables and independence, How to perform a Monte Carlo simulation.

Provider: Harvard University
Subject: Data Science
Duration: 8 weeks
Start Date: Self-paced
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Fat Chance: Probability from the Ground Up

The Harvard University is announcing its free online course entitled as “Fat Chance: Probability from the Ground Up”. In this course, you will see how to use these ideas to approximate probabilities in situations where it is difficult to calculate their exact values and also learn An increased appreciation for, and reduced fear of, basic probability and statistics, How to solve combinatorial counting problems, How to solve problems using basic and advanced probability.

Provider: Harvard University
Subject: Mathematics
Duration: 7 weeks
Start Date: Self-paced
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Calculus-Applied

Harvard University is proud to offer you a free online course named as “Calculus Applied”. This course provides a unique supplement to a course in single-variable calculus. In this course, you will study Authentic examples and case studies of how calculus is applied to problems in other fields, How to analyze mathematical models, including variables, constants, and parameters.

Provider: Harvard University
Subject: Mathematics
Duration: 10 weeks
Start Date: Self-paced
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Introduction to Discrete Mathematics for Computer Science Specialization

The University Of California is delighted to offer Introduction to Discrete Mathematics for Computer Science Specialization free online course. We cover the basic notions and results (combinatory, graphs, probability, and number theory) that are universally needed. In this course, you will study how to solve complex programming challenges using advanced techniques: maximum flow, linear programming, approximate algorithms, SAT-solvers, streaming.

Provider: University Of California
Subject: Computer Science
Duration: 6-8 months.
Start Date: Open
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