Jul
22

Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital...

Coursera | Duke University

Jul
22

Data Science Math Skills

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was...

Coursera | Duke University, University of Geneva

Jul
22

Теория игр (Game Theory)

В течение жизни мы постоянно взаимодействуем с другими людьми. Маленькие дети, пытаясь добиться того, чтобы родители купили понравившуюся конфетку, часто шантажируют родителей своими слезами....

Coursera | Higher School of Economics, National Research University Higher School of Economics, University of Illinois at Urbana-Champaign

Jul
22

Analytic Combinatorics

Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations...

Coursera | Princeton University

Jul
22

Introduction to Mathematical Thinking

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...

Coursera | Stanford University

Jul
22

Bayesian Statistics

This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior...

Coursera | Duke University

Jul
22

Dynamical Modeling Methods for Systems Biology

An introduction to dynamical modeling techniques used in contemporary Systems Biology research. We take a case-based approach to teach contemporary mathematical modeling techniques. The course is...

Coursera | Icahn School of Medicine at Mount Sinai

Jul
22

Initiation à la théorie des distributions

Une fonction discontinue peut-elle être solution d'une équation différentielle? Comment définir rigoureusement la masse de Dirac (une "fonction" d'intégrale un, nulle partout sauf en un point) et ses...

Coursera | École Polytechnique

Jul
22

An Intuitive Introduction to Probability

This course will provide you with a basic, intuitive and practical introduction into Probability Theory. You will be able to learn how to apply Probability Theory in different scenarios and you will...

Coursera | University of Zurich

Jul
22

Bayesian Statistics: Techniques and Models

This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian...

Coursera | University of California, Santa Cruz

Jul
22

Combinatorics and Probability

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...

Coursera | University of California San Diego, National Research University Higher School of Economics

Jul
22

Introduction to Graph Theory

We invite you to a fascinating journey into Graph Theory — an area which connects the elegance of painting and the rigor of mathematics; is simple, but not unsophisticated. Graph Theory gives us,...

Coursera | University of California San Diego, National Research University Higher School of Economics

Jul
22

SQL for Data Science

As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions...

Coursera | University of California, Davis

Jul
22

Practical Time Series Analysis

Welcome to Practical Time Series Analysis! Many of us are "accidental" data analysts. We trained in the sciences, business, or engineering and then found ourselves confronted with data for which we...

Coursera | The State University of New York

Jul
22

Information Theory

The lectures of this course are based on the first 11 chapters of Prof. Raymond Yeung’s textbook entitled Information Theory and Network Coding (Springer 2008). This book and its predecessor, A...

Coursera | The Chinese University of Hong Kong

Jul
22

Mathematics for Machine Learning: Linear Algebra

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including...

Coursera | Imperial College London

Jul
22

Mathematics for Machine Learning: Multivariate Calculus

This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run”...

Coursera | Imperial College London

Jul
22

Stochastic processes

The purpose of this course is to equip students with theoretical knowledge and practical skills, which are necessary for the analysis of stochastic dynamical systems in economics, engineering and...

Coursera | National Research University Higher School of Economics

Jul
22

Mathematics for Computer Science

“Welcome to Introduction to Numerical Mathematics. This is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual...

Coursera | University of London, Goldsmiths, University of London

Jul
22

Introduction to Calculus

The focus and themes of the Introduction to Calculus course address the most important foundations for applications of mathematics in science, engineering and commerce. The course emphasises the key...

Coursera | The University of Sydney

On Demand

Coordinate plane

We use coordinates to describe where something is. In geometry, coordinates say where points are on a grid we call the "coordinate plane".This course contains 6 segments:Coordinate plane: quadrant...

Khan Academy

On Demand

Area and perimeter

Area and perimeter help us measure the size of 2D shapes. We’ll start with the area and perimeter of rectangles. From there, we’ll tackle trickier shapes, such as triangles and circles.This course...

Khan Academy

On Demand

Systems of equations

Solving a system of equations or inequalities in two variables by elimination, substitution, and graphing.This course contains 6 segments:Systems of equations overviewThis video series covers...

Khan Academy

On Demand

Functions

Functions are mathematical entities that assign unique outputs to given inputs. Sounds simple? Think again! In this topic you will evaluate, graph, analyze, and create various types of...

Khan Academy

On Demand

Sequences

Learn about the various ways in which we can define sequences; Use and construct arithmetic and geometric sequences.This course contains 6 segments:Introduction to arithmetic sequencesLearn about...

Khan Academy

On Demand

Transformations

In this topic you will learn about the most useful math concept for creating video game graphics: geometric transformations, specifically translations, rotations, reflections, and dilations. You...

Khan Academy

On Demand

Congruence

Learn what it means for two figures to be congruent, and how to determine whether two figures are congruent or not. Use this immensely important concept to prove various geometric theorems about...

Khan Academy

On Demand

Similarity

Learn what it means for two figures to be similar, and how to determine whether two figures are similar or not. Use this concept to prove geometric theorems and solve some problems with polygons.This...

Khan Academy

On Demand

Analytic geometry

In analytic geometry, also known as coordinate geometry, we think about geometric objects on the coordinate plane. For example, we can see that opposite sides of a parallelogram are parallel by...

Khan Academy

On Demand

Circles

Explore, prove, and apply important properties of circles that have to do with things like arc length, radians, inscribed angles, and tangents.This course contains 14 segments:Circle basicsMake sure...

Khan Academy