10 Mathematics for Data Science Free Courses You Must Know in 2024

Knowledge of Mathematics is essential to understand the data science basics. So if you want to learn Mathematics for Data Science, this article is for you. In this article, you will find the 10 Best Mathematics for Data Science Free Courses.

For these courses, You don’t need to pay a single buck. Now, without any further ado, let’s get started-

Mathematics for Data Science Free Courses

1. Intro to Statistics– Udacity

Time to Complete- 2 Months

This is a completely FREE course for beginners and covers data visualization, probability, and many elementary statistics concepts like regression, hypothesis testing, and more.

In this course, you will also learn visualization and relationships in data, Probability with Bayes Rule and Correlation vs Causation, estimation with Maximum Likelihood, mean, median and mode, statistical inference, and regression analysis.

You Should Enroll if-

• You are beginner, but it’s good if you have already heard of some easy statistical concepts.

Interested to Enroll?

If yes, then start learning- Intro to Statistics

2. Mathematics for Machine Learning: Linear Algebra– Coursera

Rating- 4.7/5

Provider- Imperial College London

Time to Complete- 19 hours

This is a Free to Audit course on Coursera. That means you can access the course material free of cost but for the certificate, you have to pay.

This course is the part of Mathematics for Machine Learning Specialization program. This is the best course to refresh your linear algebra skills. In this course, you will learn about vectors and matrices and how to use them with datasets for performing some funny stuff such as rotation of face images, etc.

Along with learning theoretical concepts, you will also implement them by writing code in python.

You Should Enroll If-

• You have studied high school linear algebra.

Interested to Enroll?

If yes, then check out all details here- Mathematics for Machine Learning: Linear Algebra

3. Mathematics for Machine Learning: Multivariate Calculus– Coursera

Rating- 4.7/5

Provider- Coursera

Time to Complete- 18 hours

This is a Free to Audit course on Coursera. That means you can access the course material free of cost but for the certificate, you have to pay.

In this course, you will learn the basics of multivariate calculus that are required to build various machine learning techniques. You will also learn essential tools for optimizing multivariate functions and fitting data sets with lots of features to models.

The instructors of the course explain the concepts very clearly and make things quite easy to understand. The content of the course is also enough to give you a perfect idea of visualizing 3d or multidimensional data.

In short, this is the best refresher course on calculus emphasizing applications to machine learning.

You Should Enroll if-

• There is no prerequisite for enrolling in this course. Anyone who wants to learn multivariate calculus for machine learning can enroll.

Interested to Enroll?

If yes, then check out all details here- Mathematics for Machine Learning: Multivariate Calculus.

4. Linear Algebra Refresher Course– Udacity

Time to Complete- 4 Months

This is a refresher course to learn the basics of linear algebra. In this course, you will learn the basic operations of vectors and the geometric and algebraic interpretation of intersections of “flat” objects.

You will also learn how to write your own algorithm to find the intersections of sets of lines and planes. After completing this course, you will have coded your own personal library of linear algebra functions that you can use to solve real-world problems.

You Should Enroll if-

• You have experience with some programming language.

Interested to Enroll?

If yes, then start learning- Linear Algebra Refresher Course

5.  Introduction to Bayesian Statistics– Udemy

Rating- 4.8/5

Time to Complete- 1hr 19min

This is a completely Free course for statistics. In this course, you will learn Bayesian statistics from scratch. Along with that, you will also learn Conditional probability, subjective approaches to probability, and how to use Venn and Tree diagrams to model probability problems.

You Should Enroll if-

• You are beginner and want to understand Bayesian statistics more deeply.

Interested to Enroll?

If yes, then start learning- Introduction to Bayesian Statistics.

6. Intro to Inferential Statistics– Udacity

Time to Complete- 2 Months

This is another complete Free course for statistics. In this course, you will learn how to estimate parameters of a population using sample statistics, hypothesis testing and confidence intervals, t-tests and ANOVA, correlation and regression, and chi-squared test.

This course is taught by industry professionals and you will learn by doing various exercises.

You Should Enroll if-

• You have basic understanding of Descriptive Statistics.

Interested to Enroll?

If yes, then start learning- Intro to Inferential Statistics.

7. Multivariable calculus– Khan Academy

If you are looking for free tutorials for calculus, then you can’t avoid Khan Academy tutorials for math. This tutorial is divided into various sections such as definitions, basic rules, etc. In this tutorial, you will learn derivatives of multivariable calculus, application of multivariable calculus, Integrating multivariable functions, etc.

Each section of this tutorial has practice problems that will help you to test your understanding. After completing the practice problems and section, you will get mastery points.

You Should Enroll if-

• You want to learn calculus basics.

Interested to Enroll?

If yes, then check out all details here- Calculus Tutorial

8. Multivariable Calculus-MIT OpenCourseWare

In this course, you will learn differential, integral, and vector calculus for functions of more than one variable. This course contains lecture videos, examples of solutions, etc. This is another best free course for learning multivariate calculus.

In this course, you will find relevant resources required to get a thorough idea of multivariate calculus. You can also download the transcripts and lecture notes.

Interested to Enroll?

If yes, then check out all details here- Multivariable Calculus

9. Learn Linear Algebra-Khan Academy

Khan Academy course is good for those who want to brush up on their linear algebra basics. In this course, you will learn Vectors, Matrix transformation, Alternate coordinate systems, etc.

This course also covers linear combinations and spans, vector dot and cross products, null space and shared space, linear dependence, and independence, etc.

You Should Enroll If-

• You are a beginner and want to brush up on their linear algebra skills.

Interested to Enroll?

If yes, then check out all details here- Learn Linear Algebra

10. Intro to Descriptive Statistics– Udacity

Time to Complete- 2 Months

This is the third Free statistics course at Udacity. In this course, you will learn the basic terms and concepts of statistics. And how to compute and interpret values like Mean, Median, Mode, Sample, Population, and Standard Deviation.

You will also learn how to explore data through the use of bar graphs, histograms, box plots, and other common visualizations. And how to manipulate distributions to make probabilistic predictions on data.

You Should Enroll if-

• You have understanding of basic algebra and arithmetic.

Interested to Enroll?

If yes, then start learning- Intro to Descriptive Statistics

That’s all!

These are the 10 Mathematics for Data Science Free Courses. Now, it’s time to wrap up.

Conclusion

I hope these Best 10 Mathematics for Data Science Free Courses will help you to learn mathematics for data science. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

Happy Learning!

Thank YOU!

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– John Wooden