Are you looking for FREE Math Courses for Data Science? If yes, then this article is for you. In this article, you will find the 7 FREE Math Courses on Udacity for Data Science. These free courses will help you to learn statistics, probability, linear algebra, and calculus.
All courses are completely free.
So give a few minutes and find out the FREE Math Courses on Udacity for Data Science. Now without any further ado, let’s get started-
FREE Math Courses on Udacity for Data Science
1. Linear Algebra Refresher Course
Time to Complete- 4 Months
This is a Free 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 languages.
Interested to Enroll?
If yes, then start learning- Linear Algebra Refresher Course
2. Intro to Statistics
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 a 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
3. Intro to Inferential Statistics
Time to Complete- 2 Months
This is another complete Free course for statistics. In this course, you will learn how to estimate the 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 a basic understanding of Descriptive Statistics.
Interested to Enroll?
If yes, then start learning- Intro to Inferential Statistics
4. Intro to Descriptive Statistics
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 an understanding of basic algebra and arithmetic.
Interested to Enroll?
If yes, then start learning- Intro to Descriptive Statistics
5. Eigenvectors and Eigenvalues
Time to Complete- 1 weeks
In this course, you will learn how to easily calculate Eigenvectors and Eigenvalues and how they are applicable and particularly interesting when it comes to machine learning implementations.
Eigen-concepts are a big part of the mathematical background needed to understand useful data reduction tools, called
Principal Component Analysis (PCA).
You Should Enroll if-
- You have a previous mathematical background in Linear Algebra.
Interested to Enroll?
If yes, then start learning-Eigenvectors and Eigenvalues
6. Intro to Artificial Intelligence
Time to Complete- 4 months
This is a completely free course to learn artificial intelligence. In this course, you will learn the basics of artificial intelligence( Statistics, Uncertainty, Bayes networks, Machine learning, Logic, and planning).
You will also learn the application of artificial intelligence( Image processing, computer vision, robotics, robot motion planning, Natural language processing, and information retrieval).
Who Should Enroll?
- Those who have an understanding of probability theory.
Interested to Enroll?
If yes, then start learning here- Intro to Artificial Intelligence
7. Differential Equations in Action
Time to Complete- 2 months
In this course, you will hone your problem-solving skills through learning to find numerical solutions to systems of differential equations.
You will write code in Python to fight forest fires, rescue the Apollo 13 astronauts, stop the spread of epidemics, and resolve other real-world dilemmas.
This course will teach you how to translate mathematical expressions into Python code and solve some really cool problems.
You Should Enroll if-
- You have a basic knowledge of programming in Python.
Interested to Enroll?
If yes, then start learning- Differential Equations in Action
That’s all!
These are the 7 FREE Math Courses on Udacity for Data Science. Now, it’s time to wrap up.
Conclusion
I hope these 7 FREE Math Courses on Udacity for Data Science will help you to learn the concepts of statistics, probability, linear algebra, and calculus. My aim is to provide you with the best resources for Learning. If you have any doubts or questions, feel free to ask me in the comment section.
All the Best!
Happy Learning!
NOTE- Some of the links in the post are Affiliate Links. This means if you click on the link and purchase the course, I will receive an affiliate commission at no extra cost to you😊.
