List of Online Courses and Certifications

Becoming a skilled mathematical professional requires immaculate focus and training, but you must also create a strong foundation to handle numerous industry exercises. One of the core areas is Algebra, learning in which you’ll be able to interpret an array of equations and functions, hassle-free. The College Algebra certification course by edX provides a holistic package to this aid, where you’ll become fluent in Algebraic fundamentals.

A Doane University offers the College Algebra certification syllabus that covers critical areas such as inverse functions, graphs, polynomial functions, linear inequalities, exponential functions, equations and their linear systems, and many more. Successful course-takers will become adept in demonstrating increased skills in logical thinking and problem-solving. They will seamlessly pursue further education or employment in this field.

edX believes in furnishing a convenient studying experience and hence, offers the College Algebra online course at entirely no cost. Students will complete the curriculum comfortably in just eight short weeks, dedicating eight to twelve hours per week. Since it is at the intermediate level, learners don’t need to fulfill any eligibility criteria to enroll. The candidates are given the option of two tracks which may be chosen so that the course can be completed. Both the course tracks are self-paced but there is a time limit until which the course remains accessible in the audit mode. But in the case of the verified track, the candidates will be able to access the course materials for an unlimited period of time.

The Modern Algebra certification course explores algebra's role in abstracting geometric concepts and numbers, offering insights into their fundamental properties and enabling manipulations beyond direct means. It caters to undergraduate science and engineering students over an 8-week duration, highlighting algebra's pivotal applications in real-world scenarios, especially within Computer Science and Engineering's foundational realm.

With the Modern Algebra certification by Swayam, students delve into algebra's abstract nature, grasping its profound implications on geometry and numeric principles. By manipulating these abstractions, the course showcases how algebra fuels real-life mathematical applications, serving as a vital toolset for problem-solving and computation in science, engineering, and computing disciplines.

The coursework of the Introduction to numerical analysis course by Coursera has been structured to give the learners an insight into the various concepts of Numerical analysis and to help them develop their career in that direction. This course aims at enabling the candidates to have a detailed understanding of the process of numerical computing which requires assembling building blocks into computational pipelines and a basic understanding of its numerical methods, their strengths, limitations, failure modes and weaknesses. 

Through this coursework, the participants will be trained to analyze and develop the primary characteristics of numerical algorithms. They will be able to represent them with diverse classic problems in numerical mathematics. The process of implementing constructions into working prototypes of numerical code will also be taught. This course is being instructed by Evgeni Burovski who is an assistant professor at the School of Applied Mathematics at HSE.  The instructor ensures to deliver the programme in an interactive manner by including discussion forums, projects, e-learning videos and practice exercises as a part of conducting classes. This course is being offered by the National Research University Higher School of Economics on Coursera.

Harvard University is offering the Fat Chance: Probability from the Ground Up course in partnership with edX. It is a seven-week programme that will cover probability and statistics up to the college level. Thorough video lectures support the programme curriculum. It will enable you to have a deep understanding of what lies at the core of quantitative reasoning.

By taking the Fat Chance online training programme, you will rise over learning through rote formulae and term memorisation. You will hone your basic counting skills, along with their application to probability problems. The curriculum of the programme will also take you through the concepts of expected value, normal distribution, and variance. 

The probability from the Ground Up course by edX will train you to solve even the most complex problems based on stats and probability. Being a self-directed trainer, you can take your time to practice and learn the concepts as per your schedule. Also, as Harvard University is offering the course, the instructors will belong to the premier institution. The programme has two enrolment options; paid certificate mode and free audit mode. In the free audit mode, the students can get access to the programme only for a limited duration. 

The Automata Theory online course is an advanced computer science course developed by Stanford University. It covers finite automata, regular languages, regular expressions, non-deterministic and deterministic automata. Your instructors will also discuss closure properties, decision properties, and pumping lemma for regular and context-free languages.

The Automata Theory certification syllabus covers the Tuning machine. It is a kind of automaton that defines recursively enumerable languages (languages defined reasonably by a computing device of any sort). The curriculum then moves on to the theory of intractability. You will gain expertise in NP-complete problems, a class of intractable problems, as well.

The video lectures are delivered in English, and to help learners follow along, English transcripts are also available. Though it is a self-paced learning programme, you should ideally be dedicating five-to-ten hours to the Automata Theory training. After completing the seven-week training, you can purchase a shareable completion certificate from edX. It will help you highlight all your achievements and increase your employability. Edx has 2 tracks namely the verified track and the audit track which allows the students to finish off the course. During the verified track, the candidates will get unlimited but paid access to the course materials. In the audit track, the candidates will be getting limited but free access to the course materials. 

Learn about the fundamental mathematical concepts of kinematics, calculus, projectile motion, trigonometric functions, vector calculations, and much more, in the A-level Mathematics for Year 13 Course 2 certification course. The Imperial College of London has designed this course to help you succeed in an A-level maths exam with an A* grade. 

The A-level Mathematics for Year 13 Course 2 syllabus delves deeply into topics like general motion, projectile motion, integration and differentiation methods, graphs, diagrams, mathematical symbols, equilibrium, and more, to polish your skills and make you fully prepared to pursue STEM degrees. This is a comprehensive training program that lasts for seven weeks. 

During the A-level Mathematics for Year 13 Course 2 online course, candidates will acquire 360-degree theoretical knowledge and develop skills like problem-solving, fluency, and confidence. Created by the Imperial College, this course is available on edX for free. Candidates can also opt for certification at the end of the programme. The course is self-paced but there is a time limit until which the course remains accessible in the audit mode. But in the case of the verified track, the candidates will have unlimited access but they need to pay some amount.

Imperial College London’s A-level Mathematics for Year 12 – Course 2 certification focuses on helping candidates ace their A-level mathematics tests. Through an in-depth curriculum, the program intends to help students consider how everything they know about mathematics, fits into its vast world. Within a short span of seven weeks, the course content imparts all the vital learnings to shape the candidates as experts in this subject.

Spanning seven modules, the A-level Mathematics for Year 12 – Course 2 certification syllabus covers integral topics, ranging from Newton’s laws and calculus to statistical hypotheses. Through these, you’ll be able to test your initial skillset, correctly understanding how background expertise underpins this A-level programme.

Additionally, the A-level Mathematics for Year 12 – Course 2 training will help you gain the necessary skills such as fluency in applying appropriate answering methods. Candidates ace the confidence of assessing mathematical procedures, problem-solving, deep reasoning through proofs and formulae, and constructing mathematical arguments using critical tools.  Aspirants can also choose the paid accreditation to become verified candidates.

The candidates are given the option of two tracks to choose from so that the course can be completed. Both the course tracks are self-paced but there is a time limit until which the course remains accessible in the audit mode. Again, in the case of the verified track, candidates will be able to access the course materials for an unlimited period of time.

The A-level Mathematics for Year 13- Course 1 by edX is an intermediate-level training, built to help course-takers develop the required skills to ace undergraduate STEM degrees and gain an A*. The curriculum houses seven modules, covering vital topics such as Functions, Algebra, Sequences, Trigonometry, Numerical Methods, etc., thus helping learners gain full competency in A-level Maths.

Offered by Imperial College London, the A-level Mathematics for Year 13 - Course 1 certification helps students understand how their knowledge fits into the extensive mathematical world. The curriculum helps them become fluent in various appropriate methods, covering all the core areas. Upon completion, students have ample confidence, deep reasoning skills, problem-solving abilities, and the required knowledge to efficiently put forth mathematical arguments. 

The online A-level Mathematics for Year 13- Course 1 training is for seven weeks, which students can learn in a self-paced manner, using pre-recorded video lessons. After finishing the program, they’ll house the best techniques and skills to apply in their A-level study. If candidates wish to, they can buy the shareable edX certificate, though the course is entirely free. The candidates are given the option of two tracks which may be chosen so that the course can be completed. 

Both the course tracks are self-paced but there is a time limit until which the course remains accessible in the audit mode. But in the case of the verified track, the candidates will be able to access the course materials for an unlimited period of time.

The A-Level Mathematics for Year 12 online course is designed and provided by edX in partnership with Imperial College London. The program aims to provide you with enough skills to help you ace your A-level maths examinations. Aside from the examination perspective, the course will also encourage you to apply your mathematical learnings to the wider mathematical world.

The A-Level Mathematics for Year 12 certification syllabus is divided into seven modules. These modules cover coordinate geometry, inequalities, polynomial theorems, statistics, graphs, curves, and much more. They are designed to imbue you with mathematical fluency and confidence, along with the ability to construct a well-reasoned mathematical argument and problem-solving prowess.

After completing the A-Level Mathematics for Year 12 by edX, you will have a deeper understanding of the techniques and skills you can apply during your A-level study. What’s more, you also have a chance to earn a course completion certificate at the end of the course. All you have to do is pay a minimal fee, and you’ll get a shareable, verified document that you can showcase to the world and improve your job prospects. Students may enroll in any of the tracks namely verified and audit tracks which may help the candidates learn the prgramme. During the audit track, learning is free for a limited time period whereas during the paid verified track learning can be done for an unlimited period of time.

Maths Subject Knowledge: Fractions, Decimals, and Percentages certification is a 6 weeks online course that is formulated by FutureLearn, and National STEM Learning Centre, and the accreditation is given by The CPD Certification Service. This course has been identified to cater to the needs of teachers who want to learn maths even when they don’t have any background in that subject so that they can teach the students with ease.

Maths Subject Knowledge: Fractions, Decimals, and Percentages certification syllabus include mathematical concepts like fractions, percentages, ratios, and decimals. Fractions can be a tricky concept to teach students, and this course makes it simpler to understand and then convert this knowledge to teaching.

Maths Subject Knowledge: Fractions, Decimals, and Percentages training will help the teachers to explore fractions so that new approaches can be considered for teaching, making it easier for their students to grasp the concepts and giving them a better understanding of other related concepts in maths. It will also help students gain content of the structure of maths behind fractions.

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The online program offered by edX imparts wisdom to the participants in the concepts like preconditioning, linearity, newton's local method, modeling, transformations, solving equations, newton's method, descent methods, optimality conditions, formulation, convexity, differentiability, one variable, several variables, inexact line search, preconditioned the steepest descent, conditioning, and quadratic functions.

The certificate is offered to the successful participants on course completion. The certificate has the signature of the instructor and it is verified by the institution. The Optimization: principles and algorithms - Unconstrained nonlinear optimization online course is offered by edX in association with EPFL. The candidates can easily complete the Optimization: principles and algorithms - Unconstrained nonlinear optimization certification course with only 6 to 8 hours of effort needed on a weekly basis.

Optimization: principles and algorithms - Unconstrained nonlinear optimization training is a self-paced course, meaning that it allows its candidates to learn and grow at their own pace and time. The introductory level course also includes the facility of financial aid so that any candidate’s financial instability doesn't come in their way to a promising career.

The Probability: Basic Concepts and Discrete Random Variables course has been formulated by the experts to provide the details of mathematical probability about data science as a domain. The programme will further help students to carve out a career in the field of data science and as actuarial scientists. 

The course contains- sample space, Bayes theorem, expected values, CDFs, conditional probability, and many more. The Probability: Basic Concepts and Discrete Random Variables online course discusses important models with respect o]to probability distribution models including- binomial distributions, Bernoulli theorem, negative binomial distribution, geometric distribution, possession distribution, and uniform distribution. The Probability: Basic Concepts and Discrete Random Variables training will introduce the enrolled applications with probability mass functions and joint distribution methods so that they can learn about mathematical probability in detail meet their expected career goals and gather more information in the area of science and computers.

This course is self-paced which means the students will be able to access the course content in their own preferred time. The candidates will only be getting a limited period to view and learn the course content in the audit mode whereas the verified track offers unlimited course access along with a certification of completion.

Probability: Basic Concepts and Discrete Random Variables Online Course helps candidates to learn about the different models involved in this field. It acts as an information booster for all the participants who want to brush up their skills and build their careers in the information sector. Different models have been given importance as this is the area where candidates find it difficult to understand the programme.

The experts will be guiding the candidates throughout the Probability: Basic Concepts and Discrete Random Variables Training. Assignments, projects, and quizzes are part of the learning which helps participants to know their learning and clear their doubts. The interconnection between the distribution has been well discussed in the Probability: Basic Concepts and Discrete Random Variables Certificate.

The Course also has an add-on where certificates will be given after they complete Probability: Basic Concepts and Discrete Random Variables certification. The certificate can be used in the future for better jobs and salary hikes. The participants shall have confidence in themselves for sharing their learning in the course. Edx offers two different tracks, out of which one may be chosen to finish the course. The audit access will be offered if the candidates want to finish the course for free, and that too without a certificate. On the other hand, the candidates who want unlimited access to te course content must pay for the verified track access, and get a certificate after course completion.

Calculus and differential equations make up the most essential concepts in engineering. The Engineering Calculus and Differential Equations certification syllabus will help you understand the ways to find out voltages and currents in connected network components or how an exploratory probe is launched by flight engineers.

Furthermore, the Engineering Calculus and Differential Equations course by Edx touches upon the fundamentals of single-variable calculus and ordinary differential equations. The course is application-oriented and helps in applying mathematical skills to solve real-world engineering problems. It will also help you control and monitor a system as per your needs.

The Engineering Calculus and Differential Equations online course is offered by the University of Hong Kong. The online course faculty includes professors Kwok Wing Chow and Kai Man Tsang, with experience in mathematics and mechanical engineering. The program also equips you with the skills to construct a simple model of change and to arrive at consequences. 

The candidates may enroll in this course for free or by paying a certain amount of money. There are 2 tracks namely verified or audit track which offers direct access to the course materials. If the candidates opt for the verified mode they are entitled to unlimited access and if they opt for the audit access, they are going to receive only limited access to the course materials.

Mathematics as a subject can be challenging for many students who often develop a negative view of the subject. However, a different approach towards math can help students learn it better and more efficiently. The How to Learn Math: For Students, an online course by edX aims to introduce a new approach towards learning maths effectively. 

The How to Learn Math certification is well-curated, boasting an information-rich curriculum covering various misconceptions often associated with mathematics. You will learn new learning techniques and strategies to help you form a positive view of the subject. 

edX's How to Learn Math program features several videos specially designed for interactive and engaging learning. This online course is free, and you do not require any prior knowledge to enroll. The prestigious Stanford University has been developed and will help you change your mindset towards maths. Besides, you can cover the How to Learn Math syllabus in a span of six weeks by putting in at least 1-3 hours of weekly study. 

Key Ideas in Mentoring Mathematics Teachers certification is a 5 weeks short online course that is led by the educators of UCL (University College London), and FutureLearn for supporting maths teachers who are less experienced. By devoting nearly 4 hours a week, candidates can become mentors of these mathematics teachers.

Key Ideas in Mentoring Mathematics Teachers' certification syllabus offers live sessions involving course discussions that can help in boosting one’s own knowledge of the Mathematics subject. This kind of knowledge can be used for teaching secondary school students, and also apply new research techniques to the practice of teaching.

Key Ideas in Mentoring Mathematics Teachers' training focuses on promoting teaching and even learning maths like generalisation, reasoning and proof and abstraction, and also some conceptual structures with the help of digital technologies. With this course as mentor candidates will be using personal experience for reflecting on the further developments while sharing the expertise with the new maths Teachers.

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Precalculus: the Mathematics of Numbers, Functions and Equations certification is the first amongst 2 courses that are prepared by the University of Padova in cooperation with FutureLearn. The main purpose of this programme is to provide students with introductory mathematical skills that are required for completing their first-ever course in calculus. The online category of courses that this particular one falls under is Science, maths, and Engineering.

With the Precalculus: the Mathematics of Numbers, Functions, and Equations certification syllabus, candidates are supposed to learn the fundamentals necessary for undergraduate or college students. The topics are all related to Mathematics which include sets and set operations, factoring and division, functions and graphs, reasoning and proofs, and also inequality.

Precalculus: the Mathematics of Numbers, Functions, and Equations training is online for a time of just 5 whole weeks where only 6 hours weekly classes will be taught. With this precalculus course, candidates will gain foundational skills for supporting mathematical studies so that it can be beneficial for using Maths in everyday life.

The finite Element Method (FEM) is the most extensively used numerical tool by engineers and scientists to solve and address many real-life problems. It helps by solving partial differential equations. The differential equations which arise during the analysis of structural integrity of civil and mechanical components are subjected to various kinds of loading, heat transfer, and fluid flow. The course of Certificate course on finite element methods and hands-on experience shall help the learner to grab a firm understanding of the concepts and applications of finite element methods. 

Certificate course on finite element methods and hand-on experience training will inculcate the knowledge of finite methods and help the learner to use them for solving various problems. This is the 5-week online certificate course organized by the Department of Mechanical Engineering, Department of Civil Engineering, and Center of Futuristic Defence and Space Technology

Indian Institute of Technology Indore. The candidate shall also receive a certificate course on finite element methods and hands-on experience by IIT Indore. 

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.

Optimization: principles and algorithms - Linear optimization course can act as the perfect opportunity for all the candidates who want to explore various concepts related to linear optimisation, duality & the simplex method. The content has been designed in a very carefully planned manner, to get the candidates thoroughly comfortable with the simplex method, its impact, and various applications. Optimization: principles and algorithms - Linear optimization program meticulously covers the conditions required for an optimal solution, which are necessary & contribute significantly to the swiftness of the operations and the overall learning of the course. 

Optimization: principles and algorithms - Linear optimization training course heavily relies on the concepts of linear algebra such as rank, matrices, pivoting, etc., and adding up on those concepts, further the theoretical knowledge and the real-world applications of the concepts. The 5-week self-paced course thoroughly covers all the basics, keeping the focus on the practical usage of the concepts and methods being mentioned as part of the course. Though the course is self-paced, the unlimited paid access to the course materials shall only be offered if the chosen track is verified. If the chosen track is audit the participants will get free course access for a limited time.

Mathematics has several mysterious and fascinating subjects that have struck the curiosity of mathematicians since ancient times. One such topic is prime numbers which hold special significance due to their unusual nature. The More Fun with Prime Numbers online course by edX dives into the basic concepts, laws, and properties of prime numbers. 

Furthermore, edX's More Fun with Prime Numbers certification explores the role of prime numbers in cryptography and the construction of cryptosystems. This course is an upgraded version of a previous course launched in 2015 called ‘Fun with Prime Numbers’. However, this is not a continuation of the previous course and is simply a more refined version, along with some additional topics. 

The More Fun with Prime Numbers program is a great course for math enthusiasts and will help them discover new concepts and tackle different problems using the concepts acquired during the course. You can learn this course for free and purchase a verified certificate to validate your learning.

The Numerical Methods: Finite Difference Approach course by Swayam is an advanced learning program for postgraduates from Science and Engineering backgrounds. This short, four-week training teaches students about partial differential equations, their different classes, and their solution methods. Falling under the ‘‘Mathematics’’ purview, it is a core curriculum set at the PG-level. 

The Numerical Methods: Finite Difference Approach certification syllabus also deals with the solution methods’ stability analysis and convergence. Since the curriculum covers this subject’s vital topics, it will allow candidates to solve numerous science and engineering problems once they finish every module. This training also has various applications in engineering sciences diverse fields. Thus, it is widely recognized by General Electric, TCS, ABB, Nuclear Industries, and similar companies. 

What’s more, students seeking job opportunities in organizations such as those mentioned above can opt for the Numerical Methods: Finite Difference Approach certification for a significant boost. Paying the required fees and clearing its eligibility, they can obtain this e-verifiable certificate to show recruiters. 

Modelling is imperative for understanding a large-scale process’s dynamics. Undertaking the process’s model equations-based virtual experiments, one can optimise operating conditions or/and design the systems efficiently. In most of these practical procedures, model equations deal with numerous parameters, ultimately resulting in partial differential equations (PDEs). The Partial Differential Equations (PDE) For Engineers programme helps candidates obtain holistic knowledge about this.

This four-week course in Partial Differential Equations (PDE) For Engineers: Solution by Separation of Variables by Swayam is an elective programme. Here, students will learn about the various solutions undertaken by process engineers to solve PDEs, including the separation of variables, which is this training’s primary focus. Falling under the ‘Mathematics’ category, this is a PG/UG-tier curriculum.

This training aims to establish solution technique skills among students, helping them become fluent in solving PDEs for various engineering applications. The curriculum also includes an optional Partial Differential Equations (PDE) For Engineers: Solution by Separation of Variables certificate. Interested applicants can obtain this by submitting all their assignments and clearing the course-end test. 

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.

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The Mathematics for Data Science: Essential Mathematics for Machine Learning and AI certification course is a four-week training that candidates can avail themselves of after enrolling on the programme. The three major branches of mathematics used in computer science and artificial intelligence will be included in this course: linear algebra, calculus, and probability.

From calculations, functions, and graphs to differentiation and optimization, vectors, and matrices, the candidate can study the basic topics in each of these three fields that will be carried out during Mathematics for Data Science: Essential Mathematics for Machine Learning and AI training. The candidate will get to learn the fundamentals of mathematics from the beginner’s level and it doesn’t matter if they have studied mathematics at their school level, the course will begin from the introductory level and will go to the advanced level.

The Mathematics for Data Science: Essential Mathematics for Machine Learning and AI certification will be provided and given to the students in the last as the course gets complete but for that candidates need to complete all the criteria that are set for the course. The certification given will be accredited by Microsoft only to attain high importance in the outer world of AI.

Microsoft Future Ready: Essential Mathematics for Machine Learning and AI Certification by FutureLearn serves as an excellent online training programme for aspiring AI professionals and machine learning developers. The development of artificial intelligence systems demands a strong command over mathematics and related concepts to excel in the field academically and professionally.

As a primer course that learners can pursue free for a week, it will provide them with the primary lessons that they need. Microsoft Future Ready: Essential Mathematics for Machine Learning and AI certification syllabus will cover the three main branches of mathematics that find their application in artificial intelligence and data science- calculus, probability and linear algebra.

They will get guided learning on all the essential topics of these three areas; ranging from functions, graphs and equations to optimisation, differentiation, matrices and vectors. The learning experience will be highly memorable for learners who can indulge in peer-to-peer interaction, lifelong access and dual learning options. Enthusiastic learners can even go to the course activity page and answer doubts and check which topics are under debate.