Online Mathematics Courses & Certifications

Maths Subject Knowledge: Understanding Numbers certification course is a one-month short course whose content has been developed by the National STEM Learning Centre, and its achievement certificate is bestowed by FutureLearn. This teaching course helps secondary Teachers improve their knowledge of Mathematics involving numbers. 

Maths Subject Knowledge: Understanding Numbers certification syllabus inculcates the knowledge of using numbers every day, and appreciate the use of it. There are many interesting patterns and connections that can be explored once candidates jump onto the structure of mathematics and the ways in which simple numbers can work.

Maths Subject Knowledge: Understanding Numbers training will help develop an understanding of the relationship between different areas in maths so that these interconnections can be judged based on their nature. Spending a time of just 3 hours in a week will be sufficient enough for the candidates to get done with the training of this accredited course.

Also Read:
Maths Subject Knowledge: Proportion, Ratio, and Scaling

Proportional Reasoning and the application of ratios is a pressing requirement for educators and students across different areas where Mathematics is applied and taught. It thus becomes inevitable in various domains of science and technology and can be applied to a range of situations in academic and professional life. Maths Subject Knowledge: Proportion, Ratio, and Scaling Certification by FutureLearn is one such course that will aid learners in their journey to ace the concept of proportional reasoning and solve STEM problems smoothly.

In this course, instructor-based learning will expose candidates to different multiplicative reasoning strategies, the ability to scale things up and down, and the links between ratio and proportion. It is delivered by Michael Anderson, Mathematics Subject Specialist at the National STEM Learning Centre, and Stephen Lyon holding an experience of 30 years as a HOD at STEM Learning. 

Maths Subject Knowledge: Proportion, Ratio, and Scaling Certification Course has been offered by The National STEM Learning Centre. It provides world-class professional resources and activities to support the teaching of STEM subjects and ensures learners earn holistic knowledge. The course receives its certification from CPD Certification Service to confirm the continuation of professional development principles.

The online certification course on Maths Subject Knowledge: Graphs, Functions and Solving Equations Graphically by FutureLearn over the period of four weeks will be providing the students with all the details that are necessary for the professional who is pursuing a career as teachers. The online session had been designed as a subject knowledge enhancement (SKE) for educators. In the Maths Subject Knowledge: Graphs, Functions and Solving Equations Graphically certification syllabus topics such as - graphs, functions, properties of quadratic graphs, finding the equation, sketching graphs, stretching, transformations of graphs, reflections, translations, finding roots, and others will be covered in details. Upon completing the Maths Subject Knowledge: Graphs, Functions and Solving Equations Graphically certification course the students will further improve their key skills in the domain of mathematics and will further develop a fair understanding of the applications.

The ‘Decision-Making Under Uncertainty’ online course is a study about the various kinds of techniques and strategies used in decision-making for different situations. This operations research and management science course is provided by the online education portal Swayam by the government of India with the National Programme on Technology Enhanced Learning (NPTEL). The online classes of this elective program are conducted for a duration of four weeks. 

This course belonging to the domain of commerce and operations management is instructed by Prof. Natarajan Gautam teaching Industrial and Systems Engineering from Texas A&M University. The students of this AITCE approved course are engaged with online learning methods aided by the online resources and lectures with the books and reference materials to gain both theoretical and experimental knowledge.

The ‘teaching Industrial and Systems Engineering’ online training enables students to get an online course certificate and academic course credits after completing the program.

Vedic Mathematics is a collection of Sutras or Techniques used to solve arithmetic problems in an easy and faster way. It comprises 16 Sutras (Formulae) and 13 sub-sutras (Sub-Formulae) that find their application in arithmetic, geometry, algebra, calculus, and conics. If you wish to solve mathematical problems in a faster and less tedious way, the Vedic Mathematics course by IIIT, Surat, is for you.

The Vedic Mathematics programme is organised by IIIT, Surat, in collaboration with Karnataka Sanskrit University, Bangalore. This course will be conducted for learners currently undergoing their degree education and all others interested in learning Vedic Maths. However, only a limited number of seats are available.

Upon completing the Vedic Mathematics online course, you will get a certificate based on the evaluation report from the subject expert. The curriculum will be mentored by Sumangala M Dandewale, a renowned Vedic Mathematics teacher from the Kursh Gyan Foundation.

The course of inferring causal effects from the observational data offered by the platform of Coursera is free of cost course. The enrolled candidate can get a certificate for this course after paying a fixed amount according to the guidelines of the Coursera platform. The duration for this course is 5 weeks. This course is taught under the guidance of experts from the University of Pennsylvania. The E-certificate is available after the completion of this course.

The enrolled candidates will be provided with all the quizzes, assignments, video lectures, web links for books and references. As this course is free of cost and online, it is easily accessible for all the sections of society. Financial aid is also provided. The course of inferring causal effects from the observational data is highly recommended for all the students, teachers and researchers who are interested in this field. Financial aid is also available for all learners who cannot afford the fee. Total 33 percent of people started a new career after completing this course and 29 percent of them got career benefits after pursuing this course.

Taking the Introduction to Graph Theory certification course will provide you with useful insights into how engineers design integrated circuits and how GPS systems find shortest routes. You will also learn why a political map can only be coloured using a few colours and how biologists assemble genomes. The course curriculum includes the Ramsey Theory, which proves that complete disorder is impossible in an extensive system.

Additionally, the curriculum for the Introduction to Graph Theory certification course will cover a wide variety of graphs, including Airlines Graphs, Directed Graphs, Bipartite Graphs, and more. You will become adept in applying various algorithms to solve real-world problems via practice exercises and hands-on projects. 

Moreover, National Research University Higher School of Economics and the University of California and San Diego are offering the Introduction to Graph Theory programme jointly. As a result, candidates will be able to find better career opportunities upon course completion. 

The Introduction to Graph Theory online course is highly suitable for professionals working in the IT sector and IT aspirants.

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 2 weeks 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.

The Quantitative Formal Modeling and Worst-Case Performance Analysis online course by Coursera is curated by EIT Digital. This self-paced course is designed to teach you about solving performance problems and modelling in a theoretical Computer Science method.

During the Quantitative Formal Modeling and Worst-Case Performance Analysis certification course, you will sharpen your abstract thinking skills. Also, you will become proficient in performing a worst-case analysis of fundamental metrics such as buffering, latency and throughput.

The Quantitative Formal Modeling and Worst-Case Performance Analysis syllabus comprises 17-hours worth of extensive content, including video lectures, quizzes, reading material and practice exercises. You will study all this high-quality content over three weeks. 

With the help of Coursera’s Quantitative Formal Modeling and Worst-Case Performance Analysis programme, you will explore concepts such as scheduling of token production/consumption systems, timing, Petri-nets, etc. You will become trained in thinking about systems in the context of token consumption and production.

In today’s world where technology has become a part of everyone's life without us even noticing it, Computer science plays a very important role. Because of this computer science has become a field where there is a maximum requirement of the workforce with the workers having the maximum level of skill and knowledge about the same. Every candidate who chooses to become a great programmer in the future aims to sharpen his/ her skill in computer science, for which they need to have a strong hand in their mathematical skills. 

The main aim of mathematics is that it helps in imparting the students with the art of analysing, understanding and reading any problem that arises and helps them to come up with an effective solution before it hinders their work or the programme. It gives the candidate great analytical skills by teaching them how to utilize algorithms.

This shows how important mathematics is for the candidate who opts for computer science. To upgrade these skills Coursera has come up with the Mathematics for Computer science course which will make the candidate field ready for their future and help them understand computer science in a perfect way.

Data Science Math Skills certification is a 10 hours online course that is divided into 1 weeks and is an offering of Coursera along with Duke University. This course is very useful for those who want to keep on learning the basics of mathematics irrespective of whether they have learnt pre-calculus or algebra. Learning math skills through both androids, and apple devices will create the basis for successful data science.

Data Science Math Skills training forms the introduction for core math skills that data science requires, without any extra complexity, by introducing math symbols, and unfamiliar ideas one at a time. Besides this being a beginner course, this certification can act as a prerequisite for the “Mastering Data Analysis in Excel” course. Anyone who has successfully completed this gets to understand advanced concepts of maths like problem-solving along with certificates that are shareable.

The Matrix Computation certification course is an online programme offered by the Department of Mathematics, IIT Indore to educate the learners about the applications of matrix computations in today’s industry. The course allows the students to gain the necessary skills and learn various theories, algorithms, and methods that fall under the subject. The certification programme primarily taps into the wavelet theories that are carried forward from the undergraduate syllabus. 

Through the Matrix Computation training, students will be able to get the upper hand on the numerous systems, software, and problems in computations. After finishing the course, they will be capable of tackling the problems using various matrix applications. The programme comprises online lectures and high-quality learning content.

Matrix Computation and its Application online course is a six-day programme. The students will be able to learn under highly trained and qualified professionals. After finishing the programme, students will be rewarded with a certificate to showcase their skills. Moreover, the certificate will allow the learners to grab rewarding employment opportunities in the future.

The Multiscale Materials Informatics, Discovery and Design programme by IIT Bombay revolves around learning from accelerated design of materials and materials data. Here, ‘material’ indicates a unit cell with regard to atomistic. This material is also in the context of an RVE at a bigger length scale, for example, in multiphase materials or foams. 

This continuing education programme (CEP) also discusses ‘discovery,’ which means finding new materials via existing datasets. Moreover, the Multiscale Materials Informatics, Discovery and Design course also involve ‘design,’ which applies to thoroughly plan exercises of creating new RVE-optimised or new material against given applications (or properties). 

The Multiscale Materials Informatics, Discovery and Design programme syllabus begins with the very basics and proceeds to teaching advanced computational procedures of material design. You will learn how these methods are conducted via machine learning across numerous length scales. 

What’s more, IIT Bombay provides access to the required programmes via a High-Performance Computing Cluster. This Multiscale Materials Informatics, Discovery and Design course is meant for students (masters, PhD, undergraduates), industry practitioners, and faculty members.