5 Best Udemy Courses to Learn Mathematics and Statistics in 2025
These are the best Udemy Courses you can join to learn Mathematics and statistics in 2025
Hello guys, if you want to learn Mathematics and Statistics and looking for best resources then you have come to the right place.
Earlier, I have shared best AI courses, best ChatGPT courses, best Data Science courses and best Machine Learning courses and in this article, I am going to share best Udemy courses to learn Mathematics and Statistics for Data Science and Machine Learning in 2025.
Mathematics and statistics form the foundation of many technical fields, including data science, finance, machine learning, and software engineering.
Whether you’re preparing for a technical interview, working with data, or simply looking to improve your problem-solving skills, mastering mathematical concepts can be a game-changer.
Fortunately, Udemy offers several high-quality courses that make learning mathematics and statistics accessible, even for those without a strong background. These courses cover essential topics such as probability, calculus, linear algebra, and statistical modeling — skills that are crucial for professionals in AI, data analytics, and engineering.
In this article, I’ll share the five best Udemy courses to learn mathematics and statistics in 2025, focusing on their content, teaching style, and real-world applications.
By the way if you are new to Machine Learning and Artificial Intelligence area then you can also start with courses like Machine Learning A-Z™: Hands-On Python & R In Data Science which is also one of the most popular Udemy course on Machine Learning.
By the way, if you want to join multiple course on Udemy, its may be worth getting a Udemy Personal Plan, which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month.
5 Best Mathematics and Statistics Courses for Data Science and ML in 2025
Without any further ado, here are the best Udemy courses to learn Mathematics and Statistics in 2025. These courses will teach you Linear Algebra, Probability, Calculus and Statistics which are essential for working in Data Science and Machine Learning domain.
1. Mathematical Foundations of Machine Learning (130,000+ students)
This course is ideal for those who want to build a strong mathematical foundation for data science and machine learning.
It covers linear algebra, calculus, probability, and statistics — key areas necessary for understanding algorithms and modeling data.
The instructor breaks down complex topics into simple, digestible lessons with real-world applications.
What you will learn:
- Linear algebra and matrix operations
- Probability and statistical distributions
- Calculus for optimization in machine learning
- Applications in Python
If you’re a data science aspirant or an AI engineer, this course will provide the essential math background needed to excel in the field.
Here is the link to join this course — Mathematical Foundations of Machine Learning
2. Statistics for Business Analytics and Data Science (60,000+ students)
Statistics is a crucial skill for business analytics, finance, and data-driven decision-making. This course focuses on practical statistical methods used in real-world business applications.
It explains concepts in an intuitive manner, making it suitable for beginners and professionals looking to refresh their knowledge.
What you will learn:
- Descriptive and inferential statistics
- Hypothesis testing and confidence intervals
- Regression analysis and predictive modeling
- Real-world business case studies
If you work in finance, marketing, or data science, this course will help you leverage statistics for better decision-making.
Here is the link to join this course — Statistics for Business Analytics and Data Science
3. Become a Calculus 1 Master (80,000+ students)
Calculus is a fundamental topic in mathematics, with applications in physics, engineering, economics, and AI.
This comprehensive course covers differentiation, integration, and multivariable calculus in a step-by-step manner. It includes detailed explanations, visualizations, and plenty of practice problems.
What you will learn:
- Limits, derivatives, and integrals
- Applications of calculus in physics and engineering
- Multivariable calculus and partial derivatives
- Problem-solving techniques
If you’re studying engineering, computer science, or machine learning, mastering calculus is essential. This course provides a structured way to develop that expertise.
Here is the link to join this course — Become a Calculus 1 Master
4. Become a Probability & Statistics Master (100,000+ students)
Probability and statistics are the backbone of machine learning. This course focuses on how these concepts are used in AI and data science, providing hands-on examples in Python.
It’s ideal for learners who want to understand the statistical reasoning behind machine learning algorithms.
What you will learn:
- Probability distributions and Bayes’ theorem
- Statistical inference and hypothesis testing
- Correlation, variance, and standard deviation
- Applications in machine learning models
If you’re an aspiring data scientist or AI practitioner, this course will help you grasp the statistical fundamentals needed for model development.
Here is the link to join this course — Become a Probability & Statistics Master
5. Become a Linear Algebra Master (40,000+ students)
Linear algebra is at the core of many advanced mathematical concepts, including neural networks and 3D graphics. This course teaches vector spaces, matrices, eigenvalues, and transformations, making it perfect for those interested in AI, robotics, and graphics programming.
What you will learn:
- Vector spaces, matrices, and determinants
- Eigenvalues and eigenvectors
- Linear transformations and their applications
- Geometric interpretations of linear algebra concepts
If you want to master the mathematical tools used in deep learning and AI, this course is a must.
Here is the link to join this course — Become a Linear Algebra Master
Final Thoughts
Mathematics and statistics are essential for anyone looking to excel in data science, AI, finance, or engineering. The courses listed above provide structured and practical learning paths for mastering key mathematical concepts.
Whether you’re a student, professional, or self-learner, these Udemy courses offer high-quality content at an affordable price.
If you’re serious about improving your mathematical skills, check out these courses and start learning today!
P. S. — By the way, if you want to join multiple course on Udemy, its better to get a Udemy Personal Plan, which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month. If you got a lot of time and want to save money, Udemy Personal Plan will be perfect for you.
Which course are you taking? Let me know in the comments!
