108 Courses and Certifications

Free Mathematics Courses & Certifications

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Our Mathematical Senses Part 1 Geometry of Vision

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Our Mathematical Senses Part 1: Geometry of Vision

The ‘Our Mathematical Senses Part 1: Geometry of Vision’ online course is offered for the students to gain perspectives of the geometrical space around us and also know about the various mathematical concepts and theories associated with geometric and topological space. This online certification course is provided by the Swayam education portal, an initiative of the government of India, and the National Programme on Technology Enhanced Learning (NPTEL). 

The duration of this program is scheduled for four weeks and this is an elective course for the students of undergraduate level. This mathematics course is led by the course instructor Prof. Vijay Ravikumar(mathematician and artist) at the Chennai Mathematical Institute. The students of this program are enabled to acquire both theoretical and practical knowledge of the concepts through the virtual and experiential learning mode. 

The ‘Our Mathematical Senses Part 1: Geometry of Vision’ training course equips students with the course certificate and academic course credits after successful completion of the course.

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4 Weeks
Free
Skills Covered:
Mathematical skill Animation skills Knowledge of engineering
Certificate

Math TrackX Probability

4 Weeks
Beginner
Free
Certificate

MathTrackX: Special Functions

4 Weeks
Beginner
Free
Certificate

MathTrackX Statistics

4 Weeks
Beginner
Free
Certificate

MathTrackX: Integral Calculus

4 Weeks
Beginner
Free
Certificate

MathTrackX Differential Calculus

4 Weeks
Beginner
Free

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Certificate

Geometric Algorithms

Geometric problems have always been solved via geometric algorithms. Functioning using geometric algorithms requires a thorough understanding of numerous mathematical topics, including algebra, differential geometry, topology, combinatorial optimization, etc. The Geometric Algorithms certification course was developed by EID Digital and is offered through Coursera, which is instructed by Dr. Kevin Buchin, a professor of mathematics and computer science at the Eindhoven University of Technology.

The Geometric Algorithms online course provides the methods and ideas required for the creation and study of geometric algorithms and data structures and covers the algorithmic aspects of computer science, computer graphics, robotics, and virtual reality. The Geometric Algorithms online classes provide 17 hours of in-depth video lectures covering the fundamentals of line sweep algorithms, plane sweep algorithms, and numerous triangulations. By the completion of the course, applicants will be capable of selecting the algorithm or data structure that should be applied to study a given problem and find a solution.

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3 Weeks
Intermediate
Free
Certificate

Matrix Methods

3 Weeks
Intermediate
Free
Certificate

Introduction to Calculus

3 Weeks
Intermediate
Free
Single Variable Calculus

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Certificate

Single Variable Calculus

3 Weeks
Free
Calculus Single Variable Part 4 Applications

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Certificate

Calculus I

45 Hours
Free

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Certificate

Geometry

41 Hours
Free

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Certificate

Algebra

38 Hours
Free

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Certificate

Eigenvectors and Eigenvalues

Eigenvalues are a unique set of scalar values connected to a system of linear equations that are most likely seen in matrix equations. The characteristic components are another name for the eigenvectors. After applying linear transformations, it is a non-zero vector that can only be altered by its scalar factor. Eigenvectors and Eigenvalues online certification was developed by Ortal Arel, a certified instructor, and is made available through Udacity.

Eigenvectors and Eigenvalues online course highlights the essential technical abilities that employers seek in their employees and is geared at individuals who want to learn how technology is changing industries. Eigenvectors and Eigenvalues online training covers topics like linear transformation, characteristic equations, matrices, and principal component analysis in addition to teaching people how to compute the eigenvalue and eigenvector and explaining how they are useful and interesting when used in machine learning applications.

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Beginner
Free
Skills Covered:
Machine learning
Math Prep College and Work Ready

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Math Prep: College & Work Ready

Beginner
Free

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