6 Best Mathematical Modelling Courses [2021 JUNE] [UPDATED]

Mathematics modeling is a broad subject that requires advanced knowledge of functions and data analysis to understand the prediction and decision-making in every aspect of life. If you also want to improve your understanding of mathematical modeling, we can help you in your search. At Digital Defynd, we deliver individuals with a set of Best Mathematical Modeling Courses, Classes, Tutorials, Training, and Specialization programs available online. This list includes all the study material you need to learn mathematical modeling. Besides, it is ideal for beginners, intermediates, as well as experienced individuals. Have a look at our compilation of Best python Certification courses.

 6 Best Mathematical Modelling Courses [2021 JUNE] [UPDATED]

 1. Precalculus: Mathematical Modelling by John Hopkins University (Coursera)

This extensive curriculum is prepared to help you build foundational knowledge of mathematics to use it as a tool for modelling, understanding, and interpreting the world around us. In this curriculum, you’ll study how to use functions, their properties, and applications for data analysis. The course is offered in collaboration with John Hopkins University, which means you’ll get a collaborative learning experience from each class. During the video sessions, you’ll equip with certain specific topics, including precalculus, that will provide you with a set of tools to begin your scientific career. At the end of the syllabus, you’ll be able to visualize and analyze data with different technologies.

 

Key USPs – 

– Learn how to model data with single and multivariable functions while understanding the properties of different types of functions

– Ideally designed for students interested in the natural sciences, computer sciences, psychology, sociology, or other similar subjects

– Improve your understanding with real-life data sets, regular assessments, exercise sets, and real-world examples to reinforce the study material in the course

– Learn to perform vector operations, such as addition, scalar multiplication, dot product, and cross-product to analyze geometry in space

 

Duration: 10 hours

Rating: 4.5 out of 5

You can Sign up Here

 

Review: Some tests are difficult to understand due to lack of explanation in problems or questions. – LZ

 

 

2. Mathematical Modelling (Harvard Business School)

Created by skilled professors of Harvard Business School, this comprehensive program is designed to help you understand how mathematical models can be used to predict data and make future decisions in every aspect of our life. Taking up this prospectus will introduce you to mathematical modeling, discrete-time linear models, numerical methods to compute eigenvalues, and more. The course is ideally prepared for students who want to begin their journey in future prediction and decision-making. During the video classes, you’ll learn from real-world examples, case studies, graded assignments, and other study material to improve your understanding. At the end of the program, you’ll receive a badge of completion to showcase your skills. 

 

Key USPs – 

– A practical course created by the Harvard Business School expert to help you understand the importance of mathematical modeling for decision-making

– Learn everything about prediction analysis from the timing of traffic lights to control of the spread of disease resource management

– Get introduced to modeling via in-depth discussions of a series of examples and hands-on exercises, and projects that provide knowledge of mathematical tools

– Interact with the instructor directly to submit and resolve your queries related to the course content

 

Duration: Variable

Rating: 4.6 out of 5

You can Sign up Here

 

 

3. Introduction to Mathematical Modelling (NPTEL)

This is a practical program designed to help you get introduced to mathematical modeling and its various components used for predictive analysis. The program is created in coordination with the Indian Institute of Technology, Roorkee, which means you’ll be learning from an experienced faculty. Joining this program will introduce you to discrete-time linear models for population dynamics, structured models, and more. You’ll also get access to free video lectures included within the course to help you get the best learning experience. You can even download the video lectures to your system to watch and study anytime as per your preference. Check out our curation of Best Digital Logic Design Courses.

 

Key USPs – 

– A simple yet intuitive course designed to help you gain knowledge of mathematical modeling to make better data predictions and decisions

– Divided into four units that consist of various topics in a structured format to help you learn everything accordingly

– Learn about analysis on logistic difference equation, classification of bifurcation, discrete-time non-linear models, and more

– Gain knowledge of continuous-time models in population dynamics and stability and linearization of the system of ordinary differential equations

– Equip yourself with all the knowledge from the comfort of your home

 

Duration: Variable

Rating: 4.8 out of 5

You can Sign up Here

 

 

4. Big Data: Mathematical Modelling by Queensland University of Technology (Future Learn)

If you want to learn how mathematical modeling methods can be utilized to analyze big data, this course can be of great help. Created in collaboration with the Queensland University of Technology, this free course will help you understand mathematics underpins extensive data analysis for future predictions and decision-making. You’ll get introduced to key mathematical concepts in big data analytics, eigenvalues and eigenvectors, principal component analysis, the graph Laplacian, and singular value decomposition. After completing this curriculum, you’ll be able to identify big data application areas, explore big data frameworks, and analyze data by applying selected techniques. Moreover, you’ll get continuous support from a team of experts to help you with your queries.

 

Key USPs – 

– A free tutorial created by expert instructors to help you understand how mathematical modeling is used for big data analysis

– Understand how different applied problems revolve around common mathematical aims and can be addressed with similar mathematical tools

– Know about the application of eigenvalues and eigenvectors to investigate prototypical problems of ranking big data

– Learn about the application of graph Laplacian, PCA, and SVD to investigate prototypical problems of big data compression

 

Duration: 3 weeks, 3 hours/week

Rating: 4.8 out of 5

You can Sign up Here

 

 

5. Mathematical Modelling Basics (TU Delft)

This is an entry-level tutorial designed to help you learn about the basics of mathematical modeling and how you can use it to analyze a problem, format it as a mathematical model, calculate solutions and validate your results. The program is categorized into three learning modules, each of which focuses on covering essential topics related to mathematical modeling. You’ll learn how to implement Euler’s method in a Python program, how to write about your findings in a scientific way, and much more. The classes are equipped with high-quality video lectures, short texts, and well-crafted exercises to improve your overall understanding of the concepts. Don’t forget to check our list of Best SQL Data Science Courses.

 

Key USPs – 

– Learn to follow the process of the mathematical modeling cycle to formulate real-life problems, construct an appropriate mathematical model, and calculate solutions

– Know about ordinary differential equations and how to solve them while implementing Euler’s method in a Python program

– Learn to consolidate the new theoretical skills with graded problem sets about five real-life applications with mathematical modeling

– Work on your own modeling project by understanding the essentials of mathematical modeling and learning through guided projects in the course

 

Duration: 9 weeks, 4-8 hours/week

Rating: 4.5 out of 5

You can Sign up Here

 

 

6. Top Mathematical Model Courses (Coursera)

If the above courses and programs are not enough for you to learn mathematical modelling, this set of practices can help you find the best course. Coursera offers a comprehensive list of mathematical modelling courses and tutorials to help you select the best program. These classes are prepared by some of the top-rated universities, such as Johns Hopkins University, Imperial College London, Stanford University, and more. Signing up for these classes will provide you with sufficient knowledge of mathematics and modelling to solve real-world problems. Besides, finishing each course will provide you with a badge of achievement that can be shared with employers and your LinkedIn profile to showcase your skills.

 

Key USPs – 

– A list of comprehensive and practical courses offered by some of the best universities and institutions to help you gain knowledge of mathematical modeling

– Get introduced to quantum computing, developing a SIR model, building on the SIR model, infectious disease modeling, and more

– Know about Precalculus: Mathematical Modeling, Relations and Functions, Practical Time Series Analysis, and Optimization of Decision Making

– Learn through high-quality video lectures, graded quizzes, practical assignments, real-world examples, and case studies to improve your learning experience

 

Duration: variable

Rating: 4.6 out of 5

You can Sign up Here

 

The above set of courses are gathered after thorough research of various e-learning platforms and resources to provide you the best learning experience. Besides, it includes free and paid classes to help you choose a course as per your requirements. So, take up any of the above programs and begin your learning journey in mathematical modelling.