Coursera
Introduction to Mathematical Thinking - Stanford
Introduction to Ordinary Differential Equations - KAIST
Introduction to Calculus - University of Sydney
Single Variable Calculus - University of Pennsylvania
Calculus: Single Variable Part 1 - Functions - University of Pennsylvania
Calculus: Single Variable Part 2 - Differentiation - University of Pennsylvania
Calculus: Single Variable Part 3 - Integration - University of Pennsylvania
Calculus: Single Variable Part 4 - Applications - University of Pennsylvania
Analytic Combinatorics - Princeton University
Introduction to Enumerative Combinatorics - National Research University
Matrix Algebra for Engineers - HKUST
Matrix Methods - University of Minnesota
Mathematics for Machine Learning: Linear Algebra - Imperial College London
Mathematical Thinking in Computer Science - UC San Diego
Mathematics for economists - National Research University
Combinatorics and Probability - UC San Diego
Introduction to Graph Theory - UC San Diego
Number Theory and Cryptography - UC San Diego
Delivery Problem - UC San Diego
Data Science Math Skills - Duke University
Discrete Mathematics - Shanghai Jiao Tong University
Discrete Math and Analyzing Social Graphs - National Research University
Introduction to numerical analysis - National Research University
Calculus and Optimization for Machine Learning - National Research University
First Steps in Linear Algebra for Machine Learning - National Research University
Introduction to Complex Analysis - Wesleyan University
Welcome to Game Theory - University of Tokyo
Game Theory - Stanford
Game Theory II: Advanced Applications - Stanford
Mathematical Game Theory - Saint Petersburg State University
Games without Chance: Combinatorial Game Theory - Georgia Tech
Fibonacci Numbers and the Golden Ratio - HKUST
Introduction to Galois Theory - National Research University
Classical Cryptosystems and Core Concepts - University of Colorado
Mathematical Foundations for Cryptography - University of Colorado
Symmetric Cryptography - University of Colorado
Asymmetric Cryptography and Key Management - University of Colorado
Introduction to Complex Analysis - Wesleyan University
Introduction to Logic - Stanford University
Logic for Economists - University of Amsterdam
Think Again I: How to Understand Arguments - Duke University
Think Again II: How to Reason Deductively - Duke University
Think Again III: How to Reason Inductively - Duke University
Think Again IV: How to Avoid Fallacies - Duke University
Model Thinking - University of Michigan
Social and Economic Networks: Models and Analysis - Stanford University
Basic Statistics - University of Amsterdam
Improving Your Statistical Questions - TU Eindhoven
Improving your statistical inferences - TU Eindhoven
An Intuitive Introduction to Probability - University of Zurich
Probability and Statistics: To p or not to p? - University of London
Probability Theory, Statistics and Exploratory Data Analysis - National Research University
Introduction to Probability and Data with R - Duke University
Bayesian Statistics: From Concept to Data Analysis - UC Santa Cruz
Bayesian Statistics: Techniques and Models - UC Santa Cruz
Bayesian Statistics: Mixture Models - UC Santa Cruz
Bayesian Statistics - Duke University
Bayesian Methods for Machine Learning - National Research University
Inferential Statistics - Duke University
Inferential Statistics - University of Amsterdam
Causal Inference - Columbia University
Linear Regression and Modeling - Duke University
Advanced Linear Models for Data Science 1: Least Squares - Johns Hopkins University
Advanced Linear Models for Data Science 2: Statistical Linear Models - Johns Hopkins University
Probabilistic Graphical Models 1: Representation - Stanford
Probabilistic Graphical Models 2: Inference - Stanford
Probabilistic Graphical Models 3: Learning - Stanford
Matrix Factorization and Advanced Techniques - University of Minnesota
Stochastic processes - National Research University
Introduction to Recommender Systems: Non-Personalized and Content-Based - University of Minnesota
Nearest Neighbor Collaborative Filtering
Recommender Systems: Evaluation and Metrics
Recommender Systems: Evaluation and Metrics
EdX
Maths Essentials - Imperial College
A-level Mathematics for Year 12 - Course 1: Algebraic Methods, Graphs and Applied Mathematics Methods - Imperial College
A-level Mathematics for Year 13 - Course 2: General Motion, Moments and Equilibrium, The Normal Distribution, Vectors, Differentiation Methods, Integration Methods and Differential Equations - Imperial College
Introduction to Differential Equations - MIT
Differential Equations: 2x2 Systems - MIT
Differential Equations: Linear Algebra and NxN Systems of Differential Equations - MIT
Differential Equations: Fourier Series and Partial Differential Equations - MIT
Transfer Functions and the Laplace Transform - MIT
Linear Algebra - Foundations to Frontiers - University of Texas at Austin
Applications of Linear Algebra Part 2 - Davidson College
Advanced Linear Algebra: Foundations to Frontiers - University of Texas at Austin
Introduction to Linear Models and Matrix Algebra - Harvard University
Linear Algebra I: Linear Equations - Georgia Tech
Linear Algebra II: Matrix Algebra - Georgia Tech
Linear Algebra III: Determinants and Eigenvalues - Georgia Tech
Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD - Georgia Tech
College Algebra and Problem Solving - Arizona State University
Introduction to Algebra - SchoolYourself
MathTrackX: Polynomials, Functions and Graphs - University of Adelaide
MathTrackX: Special Functions - University of Adelaide
MathTrackX: Differential Calculus - University of Adelaide
MathTrackX: Integral Calculus - University of Adelaide
MathTrackX: Probability - University of Adelaide
MathTrackX: Statistics - University of Adelaide
The Math of Data Science: Linear Algebra - Rice University
Precalculus - Arizona State University
Pre-University Calculus - TU Delft
Engineering Calculus and Differential Equations - University of Hong Kong
Calculus Applied! - Harvard University
Calculus 1A: Differentiation - MIT
Calculus 1B: Integration - MIT
Calculus 1C: Coordinate Systems & Infinite Series - Harvard University
AP Calculus BC - Davidson College
AP Calculus: Challenging Concepts from Calculus AB & Calculus BC - Davidson College
Introduction to Geometry - SchoolYourself
Semantic Modelling - National University of Singapore
Procedural Modelling - National University of Singapore
Fat Chance: Probability from the Ground Up - Harvard University
Introduction to Probability - Harvard University
Data Science: Probability - Harvard University
Probability - The Science of Uncertainty and Data - MIT
Fundamentals of Statistics - MIT
Machine Learning with Python: from Linear Models to Deep Learning - MIT
Capstone Exam in Statistics and Data Science - MIT
Probability and Statistics in Data Science using Python - UC San Diego
Fundamentals of Statistics - MIT
Mathematical Methods for Quantitative Finance - MIT
Data Analysis for Social Scientists - MIT
Python for Data Science - UC San Diego
Probability and Statistics in Data Science using Python - UC San Diego
Machine Learning Fundamentals - UC San Diego
Big Data Analytics Using Spark - UC San Diego
Probability and Statistics I: A Gentle Introduction to Probability - Georgia Institute of Technology
Probability and Statistics II: Random Variables – Great Expectations to Bell Curves - Georgia Institute of Technology
Probability and Statistics III: A Gentle Introduction to Statistics - Georgia Institute of Technology
Probability and Statistics IV: Confidence Intervals and Hypothesis Tests - Georgia Institute of Technology
Introductory Statistics : Sample Survey and Instruments for Statistical Inference -
Seoul National University
Introductory Statistics : Basic Ideas and Instruments for Statistical Inference -
Seoul National University
Introduction to Probability Management - Stanford University
Basics of Statistical Inference and Modelling Using R - University of Canterbury
Advanced Statistical Inference and Modelling Using R - University of Canterbury
Statistics and R - Harvard University
Statistical Analysis in Bioinformatics - University of Maryland
Probability and Statistics in Data Science using Python - UC San Diego
Compilation Basics for Macroeconomic Statistics - International Monetary Fund
Impact Evaluation Methods with Applications in Low- and Middle-Income Countries - Georgetown University
Public Sector Debt Statistics - International Monetary Fund
Six Sigma: Define and Measure - TU Munich
Agile Methodology - Rolls-Royce
FutureLearn
Maths Subject Knowledge: Understanding Numbers - Stem Learning
Maths Subject Knowledge: Fractions, Decimals, and Percentages - Stem Learning
Maths Subject Knowledge: Proportion, Ratio and Scaling - Stem Learning
Precalculus: the Mathematics of Numbers, Functions and Equations - University of Padova
Advanced Precalculus: Geometry, Trigonometry and Exponentials - University of Padova
Flexagons and the Math Behind Twisted Paper - Weizmann Institute of Science
Maths Puzzles: Cryptarithms, Symbologies and Secret Codes - Weizmann Institute of Science
An Introduction to Recreational Math: Fun, Games, and Puzzles - Weizmann Institute of Science
World Class Maths: Asian Teaching Practice - Macmillan Education