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Mathematics And Mathematical Modeling courses

Learn Mathematics And Mathematical Modeling online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Stanford Online

Understanding Einstein: The Special Theory of Relativity

4.93,172 ratings

In this course we will seek to “understand Einstein,” especially focusing on the special theory of relativity that Albert Einstein, as a twenty-six year old patent clerk, introduced in his “miracle year” of 1905. Our goal will be to go behind the myth-making and beyond the popularized presentations…

  • Coursera
  • 8 weeks of study, 5-10 hours per week
  • Self-paced
  • Paid certificate

DeepLearning.AI

Calculus for Machine Learning and Data Science

4.8972 ratings

Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you lear…

  • Coursera
  • At the rate of 5 hours per week, it will take you around 3 weeks to complete.
  • Self-paced
  • Paid certificate

Johns Hopkins University

Applied Calculus with Python

4.946 ratings

This course is designed for the Python programmer who wants to develop the foundations of Calculus to help solve challenging problems as well as the student of mathematics looking to learn the theory and numerical techniques of applied calculus implemented in Python. By the end of this course, you…

  • Coursera
  • 23 hours
  • Self-paced
  • Paid certificate

Johns Hopkins University

Linear Algebra: Linear Systems and Matrix Equations

4.7181 ratings

This is the first course of a three course specialization that introduces the students to the concepts of linear algebra, one of the most important and basic areas of mathematics, with many real-life applications. This foundational material provides both theory and applications for topics in mathem…

  • Coursera
  • 10 hours
  • Self-paced
  • Paid certificate

Imperial College London

Probabilistic Deep Learning with TensorFlow 2

4.7109 ratings

Welcome to this course on Probabilistic Deep Learning with TensorFlow! This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the probabilistic approach to deep learning. This is an increasingly important area…

  • Coursera
  • 53 hours
  • Self-paced
  • Paid certificate

Stanford Online

Introduction to Mathematical Thinking

4.83,038 ratings

Learn how to think the way mathematicians do – a powerful cognitive process developed over thousands of years. Mathematical thinking is not the same as doing mathematics – at least not as mathematics is typically presented in our school system. School math typically focuses on learning procedures t…

  • Coursera
  • Expect to require at least 10 hours of study per week to complete this course s…
  • Self-paced
  • Paid certificate

Rice University

Principles of Computing (Part 2)

4.8365 ratings

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with…

  • Coursera
  • 4 weeks of study, 7-10 hours/week
  • Self-paced
  • Paid certificate

The Chinese University of Hong Kong

Advanced Modeling for Discrete Optimization

4.9143 ratings

Optimization is a common form of decision making, and is ubiquitous in our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportat…

  • Coursera
  • 5 weeks of study, 6-12 hours/week
  • Self-paced
  • Paid certificate

Johns Hopkins University

Algebra: Elementary to Advanced - Polynomials and Roots

4.9176 ratings

This course is the final course in a three part algebra sequence, In this course, students extend their knowledge of more advanced functions, and apply and model them using both algebraic and geometric techniques. This course enables students to make logical deductions and arrive at reasonable conc…

  • Coursera
  • 9 hours
  • Self-paced
  • Paid certificate

Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models

4.6108 ratings

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: - A basic understanding of linear algebra…

  • Coursera
  • 6 weeks of study, 1-2 hours/week
  • Self-paced
  • Paid certificate

DeepLearning.AI

Linear Algebra for Machine Learning and Data Science

4.62,379 ratings

Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you lear…

  • Coursera
  • At the rate of 5 hours per week, it will take you around 4 weeks to complete.
  • Self-paced
  • Paid certificate

Johns Hopkins University

Advanced Linear Models for Data Science 1: Least Squares

4.5192 ratings

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: - A basic understanding of linear algebra and multiva…

  • Coursera
  • 6 weeks of study, 1-2 hours/week
  • Self-paced
  • Paid certificate

Johns Hopkins University

Algebra: Elementary to Advanced - Functions & Applications

4.8198 ratings

After completing this course, students will learn how to successfully apply functions to model different data and real world occurrences. This course reviews the concept of a function and then provide multiple examples of common and uncommon types of functions used in a variety of disciplines. Form…

  • Coursera
  • 5.5 hours
  • Self-paced
  • Paid certificate

Johns Hopkins University

Calculus through Data & Modelling: Series and Integration

4.963 ratings

This course continues your study of calculus by introducing the notions of series, sequences, and integration. These foundational tools allow us to develop the theory and applications of the second major tool of calculus: the integral. Rather than measure rates of change, the integral provides a me…

  • Coursera
  • 9 hours
  • Self-paced
  • Paid certificate

Johns Hopkins University

Calculus through Data & Modeling: Differentiation Rules

4.8121 ratings

Calculus through Data & Modeling: Differentiation Rules continues the study of differentiable calculus by developing new rules for finding derivatives without having to use the limit definition directly. These differentiation rules will enable the calculation of rates of change with relative ease t…

  • Coursera
  • 7.5 hours
  • Self-paced
  • Paid certificate

Johns Hopkins University

Precalculus: Mathematical Modeling

4.898 ratings

This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the beginning…

  • Coursera
  • 10 hours
  • Self-paced
  • Paid certificate

University of California San Diego

Combinatorics and Probability

4.6874 ratings

Counting is one of the basic mathematically related tasks we encounter on a day to day basis. The main question here is the following. If we need to count something, can we do anything better than just counting all objects one by one? Do we need to create a list of all phone numbers to ensure that…

  • Coursera
  • 6 weeks, 3-5 hours/week
  • Self-paced
  • Paid certificate

Johns Hopkins University

Precalculus: Relations and Functions

4.7231 ratings

This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the beginning…

  • Coursera
  • 12 hours
  • Self-paced
  • Paid certificate

École Polytechnique Fédérale de Lausanne

Digital Signal Processing 2: Filtering

4.7198 ratings

Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradig…

  • Coursera
  • 8-10 hours/week
  • Self-paced
  • Paid certificate

Johns Hopkins University

Precalculus: Periodic Functions

4.7110 ratings

This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the beginning…

  • Coursera
  • 9.5 hours
  • Self-paced
  • Paid certificate