Learning Mathematics for Data Science is not an option.
You have bridge the Gap in Mathematics to become exceptionally good in data science and with it build Intuitive understanding so that you can relate to Machine Learning as well.
Mathematics Courses Stack
Mathematics is very important for Data Science and challenging without a proper guidance. So, this easy to read post, stacks the best Mathematics for Data Science Courses, chronologically.
37+ Mathematics Courses from World’s leading educators
These courses from the Notable Educators will help you to Learn Linear Algebra, Multivariate Calculus, Principal Component Analysis & then finally become highly prepared to learn advanced topics in Machine Learning and Deep Learning.
Now, Let’s get started.
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Linear Algebra for Data Science in R  DataCamp
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Mathematics for Data Science Specialization  NRUHSE  Coursera
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Introduction to Mathematical Thinking  Stanford  Coursera
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Game Theory  Stanford University  Coursera
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Game Theory II: Advanced Applications  Stanford  Coursera
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Intro to Inferential Statistics  Udacity
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Math behind Moneyball  University of Houston  Coursera
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Advanced Linear Models for Data Science 1: Least Squares  Coursera
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Advanced Linear Models for Data Science 2: Statistical Linear Models  Coursera
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Intro to Descriptive Statistics  Udacity
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Introduction to Discrete Mathematics for Computer Science  NRUHSE  Coursera
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Introduction to Logic  Stanford  Coursera
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Mathematics for Computer Science  University of London  Coursera
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Introduction to Calculus  University of Sydney  Coursera
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Probability  The Science of Uncertainty and Data  edX
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The Math of Data Science: Linear Algebra  edX
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Data Science: Probability  edX
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Single Variable Calculus  PENN  Coursera
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Improving your statistical inferences  Eindhoven  Coursera
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Calculus: Single Variable Part 2  Differentiation  PENN  Coursera
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Matrix Methods  University of Minnesota  Coursera
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Calculus: Single Variable Part 4  Applications  PENN  Coursera
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Calculus: Single Variable Part 3  Integration  PENN  Coursera
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Calculus: Single Variable Part 1  Functions  PENN  Coursera
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Data Science Math Skills  Duke University  Coursera
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Differential Equations for Engineers  HKUST  Coursera
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Matrix Algebra for Engineers  HKUST  Coursera
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Linear Algebra  Foundations to Frontiers  edX
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Introduction to Linear Models and Matrix Algebra  edX
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Conditional Probability for Python  Dataquest
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Applying Differential Equations and Inverse Models with R  Pluralsight
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Precalculus: the Mathematics of Numbers, Functions and Equationss  FutureLearn
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Mathematics for Data Science and Machine Learning using R  Udemy
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Probability Fundamentals for Data Science  Dataquest
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Math for Data Science and Machine Learning  Udemy
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Maths for Data Science by DataTrained  Udemy
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Data Science: Machine Learning algorithms in Matlab  Udemy
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Applying Linear Algebra with R  Pluralsight
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Statistics Course: Probability & Distributions  Pluralsight
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