18 Courses and Certifications

Coursera Mathematics Courses & Certifications

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Discrete Mathematics

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Certificate

Discrete Mathematics

Coursera’s Discrete Mathematics online training programme uncovers the fundamentals of discrete mathematics, and how it also forms the mathematical foundation of information and computer science. You will be familiarized with a wide range of mathematical aspects such as functions, graphs, relations, sets, etc. which are ubiquitous and thoroughly involved in computer science.

The online programme, Discrete Mathematics, is an intermediate-level course and attempts to teach through rigorous methods while also trying to avoid being extra formal. For this, the course not only introduces the concepts and gives the full proof, but also makes the process interesting by showing at least one non-trivial result. Examples and figures will be used whenever possible to avoid extremely formal representation.

The Shanghai Jiao Tong University offers the Discrete Mathematics online course and is known to be one of China’s fastest developing universities. The course curriculum features online video lectures, course readings, quizzes, assignments, and interactive feedback. Moreover, it also provides flexible deadlines for a self-paced learning experience. Upon completion, you will also earn the e-certificate, which can be shared across your LinkedIn profile, CV, or printed resume.

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11 Weeks
Intermediate
Free
Skills Covered:
Mathematical skill Knowledge of Algorithms
Introduction to Numerical Analysis

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Certificate

Introduction to Numerical Analysis

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.

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7 Weeks
Intermediate
Free
Skills Covered:
Mathematical skill
Certificate

Mathematics for Computer Science

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.

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6 Weeks
Beginner
3,275
Skills Covered:
Mathematical skill
A Crash Course in Causality Inferring Causal Effects from Observational Data

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Certificate

A Crash Course in Causality Inferring Causal Effects from Observational Data

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.

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5 Weeks
Intermediate
Free
Skills Covered:
Statistical skills
Certificate

Data Science Math Skills

Data Science Math Skills certification is a 13 hours online course that is divided into 5 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.

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5 Weeks
Beginner
Free
Skills Covered:
Mathematical skill Data science knowledge
Quantitative Formal Modeling and Worst Case Performance Analysis

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Certificate

Quantitative Formal Modeling and Worst-Case Performance Analysis

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.

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3 Weeks
Free
Skills Covered:
Software development skills

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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
Calculus Single Variable Part 1 Functions

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Fundamentals of Quantitative Modeling

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The Wharton School, Philadelphia via Coursera
Certificate

Fundamentals of Quantitative Modeling

3 Weeks
6,638
Certificate

Matrix Methods

3 Weeks
Intermediate
Free
Certificate

Introduction to Calculus

3 Weeks
Intermediate
Free
Single Variable Calculus

Offered by

Certificate

Single Variable Calculus

3 Weeks
Free
Calculus Single Variable Part 4 Applications

Offered by

Introduction to Graph Theory

Offered by

Certificate

Introduction to Graph Theory

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.

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Beginner
6,634
Skills Covered:
Mathematical skill
Math Prep College and Work Ready

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Certificate

Math Prep: College & Work Ready

Beginner
Free

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