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Certificate Courses in Mathematics are short-term, specialized training programs designed to provide students with a comprehensive understanding of mathematics and its related concepts. Certificate Courses in Mathematics cover a range of topics related to mathematics, including calculus, linear algebra, differential equations, probability and statistics, number theory, geometry, discrete mathematics, etc.
Certificate Courses in Mathematics are intended for students who want to start or enhance their careers in mathematics, or for individuals who want to gain a deeper understanding of mathematical concepts. The top 10 Certificate Courses in Mathematics are listed below.
Certificate Courses in Mathematics are provided by many online education websites and some institutes in India. The top 10 food technology certificate courses are -
The course emphasizes out-of-the-box thinking in the context of mathematics, encouraging students of all levels to rediscover known and unknown mathematical facts using a broader perception.
The course is accessible to everyone, from school children to professionals and researchers, and is structured into four graded independent levels, with multiple approaches to problem-solving that debunk the myth that problem-solving is for the elite. The course introduces new problem-solving techniques in an easy-to-understand manner, equipping learners with the confidence and ease to tackle real-life projects.
It is a specialized program that focuses on the mathematical principles involved in investment and finance. The course typically covers topics such as the time value of money, compound interest, annuities, bonds, stocks, mutual funds, and other investment vehicles.
The program is designed to provide students with a strong foundation in the mathematical concepts and formulas that are essential for understanding the world of finance and investments. The course is suitable for students who are interested in pursuing a career in finance, accounting, investment management, or financial planning.
This course in applied mathematics covers college and university-level topics, including Calculus, Algebra, Statistics, and Stochastics. The course is relevant to various fields such as Programming & IT, Engineering, Science, Business & Economics, and more.
The course provides 24 hours of instruction, covering topics like Limits, Derivatives, Integrals, Vectors, Probability distributions, Sequences, Series, Differential equations, Matrix algebra, and more. The course is carefully prepared and includes examples, exercises, and solutions for all topics. The college-level section takes 10 hours, while the university-level section takes 14 hours.
This course provides a comprehensive understanding of the mathematical foundations of data science and machine learning, including linear algebra and calculus. The course covers topics such as tensor operations, matrix properties, eigenvectors and eigenvalues, limits, derivatives, differentiation, and integral calculus.
Each section includes hands-on assignments, Python code demos, and practical exercises to help learners develop their math skills. Additionally, the course offers free access to future bonus content on probability, statistics, data structures, algorithms, and optimization. By understanding the math behind machine learning algorithms and data science models, students can increase the impact they can make in their careers, from identifying modeling issues to inventing new and more powerful solutions.
This course is designed to teach techniques for solving quantitative problems without the use of calculators. The course covers various topics such as addition, subtraction, multiplication, division, squaring, and finding cubes and roots of numbers, among others.
The course consists of 65+ lectures, totaling 8+ hours of on-demand videos that are divided into 22 sections. Students are provided with practice questions and quizzes at the end of each topic to reinforce their learning. The techniques taught in the course can help students save time during competitive exams, allowing them to attempt more questions.
This course is designed for students who want to strengthen their understanding of algebra and geometry as a foundation for future courses requiring precalculus and calculus. It emphasizes quantitative skills and reasoning, which help students to think logically, reason with data, and make informed decisions. Instead of one large project, the course provides many smaller applied and algebra problems throughout the modules. The course also provides practice problems with worked solutions at varying levels of difficulty to challenge students and help them apply what they have learned.
This course aims to teach students how to think like mathematicians, which is different from the way mathematics is typically presented in schools. Rather than focusing on procedures to solve standard problems, this course helps students develop the ability to solve real-world problems that arise in science or mathematics. Mathematical thinking requires thinking outside the box, a valuable ability in today's world. This course helps to develop that way of thinking, which is a crucial skill in many fields.
The course focuses on the essential concepts and historical motivation behind calculus, with an emphasis on its applications in science, engineering, and commerce. The course aims to strike a balance between theory and application, providing students with a solid grasp of foundational mathematics.
The course starts with a review of precalculus and elementary functions, followed by the methodology of tangents and limits, and the definition of a derivative. The fourth week covers differential calculus, while the fifth week covers integral calculus, including methods and applications. The course equips students with a thorough understanding of calculus, which is crucial for many fields of study and careers.
This program is designed to provide engineering students with the opportunity to self-study engineering mathematics. The specialization offers instruction in a range of topics, including matrix algebra, differential equations, vector calculus, numerical methods, and MATLAB programming. By completing the program, students will have a thorough understanding of how to apply mathematics to engineering problems, equipping them to pursue a career in engineering with confidence.
This course is designed for students who are planning to pursue an MBA program but are uncertain about their basic math skills. The course covers fundamental business math skills required for success in MBA study and the field of business, particularly in quantitative subjects such as Accounting, Economics, and Finance.
Students will learn how to manipulate and evaluate various formulae, apply calculus to solve optimization problems, and use mathematical series and sequences to solve finance-related problems. The course assumes no prior knowledge of business math, and concepts are explained clearly with regular activities for practice and improvement. Upon completion, students will have the confidence and skills to apply greater analytical skills to their decision-making, both in their MBA studies and in the workplace.
Ques. What are the best Certificate Courses in Mathematics?
Ans. Some of the best Certificate Courses in Mathematics are -
Qns. What are the prerequisites for Certificate Courses in Mathematics?
Ans. Prerequisites for Certificate Courses in Mathematics can vary depending on the program, but they typically require a minimum level of education in mathematics or a related field. Some programs may also require proficiency in English and basic computer skills.
Qns. What are the benefits of taking Certificate Courses in Mathematics?
Ans. Certificate Courses in Mathematics provide students with a solid foundation in mathematical concepts and techniques, which can lead to improved job prospects and career advancement opportunities. They also provide a strong foundation for further study in mathematics or related fields.
Ques. How long do Certificate Courses in Mathematics take to complete?
Ans. The length of Certificate Courses in Mathematics can vary depending on the program, but they typically range from a few weeks to several months. Some programs may be offered online or part-time to accommodate working professionals.
Ques. Who should take Certificate Courses in Mathematics?
Ans. Certificate Courses in Mathematics are ideal for students who are interested in pursuing a career in a math-related field, such as finance, computer science or engineering. They may also be of interest to individuals who want to improve their mathematical skills for personal or professional development.
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This free course is concerned with second-order differential equations. Section 1 introduces some basic principles and terminology. Sections 2 and 3 give methods for finding the general solutions to one broad class of differential equations, that is, linear constant-coefficient second-order differential equations. Section 2 covers homogeneous ...
Free course
Level: 2 Intermediate
This free course is concerned with moving objects, that is, dynamics. Section 1 introduces concepts like position, velocity and acceleration, which describe the way an object moves. Section 2 discusses Newton’s laws of motion, which predict the motion of an object when the forces acting on it are known. Section 3 shows how Newton’s second law of...
This free course examines the basic kinematics of two-dimensional fluid flows. Section 1 introduces the differential equations for pathlines and streamlines. Section 2 introduces a scalar field, called the stream function, which for an incompressible fluid provides an alternative method of modelling the flow and finding the streamlines. Sections 2 ...
This free course is an introduction to Number Theory. Section 1 provides a brief introduction to the kinds of problem that arise in Number Theory. Section 2 reviews and provides a more formal approach to a powerful method of proof, mathematical induction. Section 3 introduces and makes precise the key notion of divisibility. The Division ...
This free course consolidates and builds on group theory studied at OU level 2 or equivalent. Section 1 describes how to construct a group called the direct product of two given groups, and then describes certain conditions under which a group can be regarded as the direct product of its subgroups. Section 2 describes the key properties of the ...
This free course examines the formulation and solution of small linear programming problems. Section 1 deals with the formulation of linear programming models, describing how mathematical models of suitable real-world problems can be constructed. Section 2 looks at graphical representations of two-dimensional models, considers some theoretical ...
This free course is concerned with modelling and estimation and looks in particular at the binomial distribution. Section 1 starts by defining probability, introduces relevant notation and briefly discusses basic properties of probabilities. The section concludes by considering some of the general features of and ideas about modelling discrete ...
This free course develops ideas about probability and random processes. Sections 1 and 2 introduce the fundamental ideas of random processes through a series of examples. Section 3 describes a model that is appropriate for events occurring ‘at random’ in such a way that their rate of occurrence remains constant. Section 4 derives the main ...
This free course looks at point estimation, that is, the estimation of the value of the parameter of a statistical model by a single number, a point estimate for the parameter. Section 1 develops some aspects of maximum likelihood estimation. In particular, you will find out how to obtain the maximum likelihood estimator of an unknown parameter,...
This free course is an introduction to Bayesian statistics. Section 1 discusses several ways of estimating probabilities. Section 2 reviews ideas of conditional probabilities and introduces Bayes’ theorem and its use in updating beliefs about a proposition, when data are observed, or information becomes available. Section 3 introduces the main ...
This free course is concerned with some of the statistical methods used in epidemiology and more widely in medical statistics. Section 1 introduces cohort studies in which individuals are classified according to their exposure and followed forward in time to evaluate disease outcomes. Section 2 looks at models for cohort studies. Section 3 ...
This free course contains an introduction to metric spaces and continuity. The key idea is to use three particular properties of the Euclidean distance as the basis for defining what is meant by a general distance function, a metric. Section 1 introduces the idea of a metric space and shows how this concept allows us to generalise the notion of ...
Surfaces are a special class of topological spaces that crop up in many places in the world of mathematics. In this free course, you will learn to classify surfaces and will be introduced to such concepts as homeomorphism, orientability, the Euler characteristic and the classification theorem of compact surfaces.
Level: 3 Advanced
This free course contains an introduction to rings and polynomials. We see that polynomial rings have many properties in common with the integers; for example, we can define a division algorithm, and this enables us to develop the analogue of the highest common factor for two polynomials. Section 1 explores the abstract definitions of a ring ...
This free course, Interpreting data: Boxplots and tables, is concerned with two main topics. In Section 1, you will learn about another kind of graphical display, the boxplot. A boxplot is a fairly simple graphic, which displays certain summary statistics of a set of data. Boxplots are particularly useful for assessing quickly the location, ...
This free course, Working on your own mathematics, focuses on your initial encounters with research. It invites you to think about how perceptions of mathematics have influenced you in your prior learning, your teaching and the attitudes of learners.
This free course, Working mathematically, is aimed at teachers who wish to review how they go about the practice of teaching mathematics, those who are considering becoming mathematics teachers, or those who are studying mathematics courses and would like to understand more about the teaching and learning process.
This free course, Teaching mathematics, has been designed for non-specialist mathematics teachers of 8 to 14 year olds, teaching assistants, home schoolers and parents and draws on the established provision of mathematics education at the Open University. It can also be used as Continuing Professional Development by individuals or groups ...
This free course looks at Babylonian mathematics. You will learn how a series of discoveries has enabled historians to decipher stone tablets and study the various techniques the Babylonians used for problem-solving and teaching. The Babylonian problem-solving skills have been described as remarkable and scribes of the time received a training ...
The Egyptians are known for being ahead of their time in comparison to some civilisations that came after them. This free course, Egyptian mathematics, looks at how the Egyptians solved mathematical problems in everyday life and the technology they used. An understanding of this area has only been possible following the translation of the ...
This free course looks at Scotsman John Napier (1550-1617) and his invention which radically altered the course of mathematics. Napier dabbled in mathematics for over 40 years and near the end of his life he introduced his tables of logarithms which drastically reduced the work needed to do complicated calculations, such as those required in ...
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Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.
The structure, annotation, normalization, and interpretation of genome scale assays.
Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.
A focus on several techniques that are widely used in the analysis of high-dimensional data.
A focus on the techniques commonly used to perform statistical inference on high throughput data.
Learn to use R programming to apply linear models to analyze data in life sciences.
Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.
Increase your quantitative reasoning skills through a deeper understanding of probability and statistics.
Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.
Learn inference and modeling: two of the most widely used statistical tools in data analysis.
Show what you’ve learned from the Professional Certificate Program in Data Science.
Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.
Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.
Apply tools of single-variable calculus to create and analyze mathematical models used by real practitioners in social, life, and physical sciences.
Applications to study short courses are currently closed; 2025 applications will open in September.
Complete and sign the application form electronically. You may email your application form with supporting documents to [email protected] . Note that you may be required to submit hard copies of documents at a later stage.
View the 2024 fees by clicking on the link below:
Short Course Fees 2024
Please note that you cannot apply for a full-year course during the middle of the year - these courses have only one intake in February.
A separate application form for each course needs to be submitted if you wish to apply for more than one course. (Please note: the application form is generic and the applicant needs to fill in the course name that he/she is applying for.)
A R250-00 non-refundable application fee is payable per course upon application. This fee is included in the course fee and will be deducted when the invoice is produced.
Please ensure that your application is accompanied by:
Successful applicants will receive a letter of acceptance and a pro-forma invoice (made out to the student or the sponsor – depending on who is liable for settling the account) via email. Payment for the course should be made prior to the registration date for the course, which will be indicated on your letter of acceptance.
All applicants will have to pay a fee for a Wits ICAM card and those who require parking will have to obtain a parking disc at the prescribed cost at the Wits parking office.
Kindly note that on the instruction of the Council on Higher Education (CHE) short courses may not refer to 'NQF levels': short courses are stand-alone courses and do not lead to part- or full qualifications registered on the NQF. Wits Course Level (WCL) descriptors now apply.
Our courses are designed to assist people who are ready and prepared for tertiary education. Entrance criteria differ from course to course. However, a specific course makes most sense if an applicant is working in the particular field.
For certain courses, prerequisite abilities in English, mathematics, economics or computer literacy are applied – so applicants are strongly advised to ensure that they meet the requirements.
The fees for the various courses are different - download the list: Short Course Fees 2024 .
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PLEASE NOTE THAT THE WITS POLICY ON SHORT COURSES CLEARLY STIPULATES THAT ALL SHORT COURSE FEES ARE PAYABLE IN ADVANCE.
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Best Mathematics Courses Online with Certificates [2024]
Mathematics for Teaching Master's Degree Program
How to Learn Math for Teachers | Stanford Online
The AMS Short Course is a two-day program held just prior to the annual JMM. It introduces mathematicians and students to emergent areas of applied mathematics to fuel curiosity, discovery and research. Led by experts, activities in each course address theoretical issues, numerical challenges and practical applications.
Machine Learning Techniques for Divergence-free Field Reconstruction (Internship) Short Course / Part-time / On Campus. Free. 3 months. King Abdullah University of Science and Technology (KAUST) Thuwal, Saudi Arabia. Ranked top 4%. Top 4% of Universities worldwide according to the Studyportals Meta Ranking.
65 Mathematics Short Courses in United States. Algorithms. Learn To Think Like A Computer Scientist. Master the fundamentals of the design and analysis of algorithms... Coursera - Stanford. Mountain View, California, United States. Mathematics for Engineers. Learn the mathematics needed to become an engineer. Study matrix algebra, differential ...
Khan Academy | Free Online Courses, Lessons & Practice
Teaching mathematics | OpenLearn
Education & Training ; Engineering & Technology ; Environmental Studies & Earth Sciences ; Hospitality, Leisure & Sports ... Short courses in Mathematics in United States. Programmes Universities. Page 1 | 65 Courses. Filters 2. Filters 2. 65 Courses. ... Short Course / Part-time / Online. Free. 1 month. CourseraOnline. View Programme ...
In summary, here are 10 of our most popular math courses. Introduction to Mathematical Thinking: Stanford University. Math Prep: College & Work Ready: University of North Texas. Data Science Math Skills: Duke University. Basic Mathematics: Birla Institute of Technology & Science, Pilani.
Introduction to Calculus Course by The University of Sydney
The MIT Professional Education office, established under MIT's largest school, the School of Engineering in 2002, builds on decades of MIT's outreach to science and engineering professionals. MIT first began offering summer study in 1898, primarily as an extension of regular courses and a preparation for incoming students.
In addition to the full ADE full qualification offered by Stellenbosch University, SUNCEP offers accredited short courses. These are often the content modules from the different ADE qualification and are therefore aligned with the full ADE programmes/qualifications, via the universities ARPL policy. However, p lease note that short courses on offer do not always have to be aligned to the full ...
Teaching Mathematics OnlineResources on class structures, homework, technology, netiquette, and more. In the current public health crisis, we are all working quickly to move our classes out of the classroom. Fortunately, even if online teaching and learning are new to you, there is a lot of experience to draw on.
Maths is an inspiring and enjoyable subject that will equip you with the problem-solving and decision-making skills that are valued across employment sectors. Find out more about our mathematics courses below. Mathematics Degree. Stage 1 120 credits. Stage 2 120 credits. Stage 3 120 credits.
Take a Course | Harvard Extension School
Certificate Courses in Mathematics are short-term, specialized training programs designed to provide students with a comprehensive understanding of mathematics and its related concepts. ... Certificate Courses in Mathematics are provided by many online education websites and some institutes in India. The top 10 food technology certificate ...
This free course, Teaching mathematics, has been designed for non-specialist mathematics teachers of 8 to 14 year olds, teaching assistants, home schoolers and parents and draws on the established provision of mathematics education at the Open University. It can also be used as Continuing Professional Development by individuals or groups ...
Free Mathematics Courses
In summary, here are 10 of our most popular mathematics courses. Basic Mathematics: Birla Institute of Technology & Science, Pilani. Math Prep: College & Work Ready: University of North Texas. Algebra: Elementary to Advanced: Johns Hopkins University. Introduction to Statistics: Stanford University.
Short Courses - Johannesburg