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Math for Data science,Data analysis and Machine Learning (Udemy.com)

Learn Math essentials for Data science,Data analysis,Machine Learning and Artificial intelligence

Created by: Sandeep Kumar Mathur

Last updated September 2026

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What you will learn

  • Learn the foundational concepts of Linear Algebra
  • Learn the foundational concepts of statistics
  • Learn the foundational concepts of Geometry
  • Learn the foundational concepts of Calculus
  • Application of key mathematical topics

How it compares

Against the other 127 rated Udemy courses in Math on CourseDuck:

  • Rating4.3 out of 5higher than 7% of them
  • Reviews662#40 of 128 by number of reviews
  • Length23.4 hourslonger than 81% of them
  • Last updatedSeptember 2026more recently than 94% of them

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Course Description

In this course, we will learn Math essentials for Data science,Data analysis and Machine Learning.  We will also discuss the importance of Linear Algebra,Statistics and Probability,Calculus and Geometry in these technological areas. Since data science is studied by both the engineers and commerce students ,this course is designed in such a way that it is useful for both beginners as well as for advanced level. The lessons of the course is also beneficial for the students of Computer science /artificial intelligence and those learning Python programming.

Here, this course covers the following areas :

  1. Importance of Linear Algebra

  2. Types of Matrices

  3. Addition of Matrices and its Properties

  4. Matrix multiplication and its Properties

  5. Properties of Transpose of Matrices

  6. Hermitian and Skew Hermitian Matrices

  7. Determinants ; Introduction

  8. Minors and Co factors in a Determinant

  9. Properties of Determinants

  10. Differentiation of a Determinant

  11. Rank of a Matrix

  12. Echelon form and its Properties

  13. Eigenvalues and Eigenvectors

  14. Gaussian Elimination Method for finding out solution of linear equations

  15. Cayley Hamilton Theorem

  16. Importance of Statistics for Data Science

  17. Statistics : An Introduction

  18. Statistical Data and its measurement scales

  19. Classification of Data

  20. Measures of Central Tendency

  21. Measures of Dispersion: Range, Mean Deviation, Std. Deviation & Quartile Deviation

  22. Basic Concepts of Probability

  23. Sample Space and Verbal description & Equivalent Set Notations

  24. Types of Events and Addition Theorem of Probability

  25. Conditional Probability

  26. Total Probability Theorem

  27. Baye's Theorem

  28. Importance of Calculus for Data science

  29. Basic Concepts : Functions, Limits and Continuity

  30. Derivative of a Function and Formulae of Differentiation

  31. Differentiation of functions in Parametric Form

  32. Rolle;s Theorem

  33. Lagrange's Mean Value Theorem

  34. Average and Marginal Concepts

  35. Concepts of Maxima and Minima

  36. Elasticity : Price elasticity of supply and demand

  37. Importance of Euclidean Geometry

  38. Introduction to Geometry

  39. Some useful Terms,Concepts,Results and Formulae

  40. Set Theory : Definition and its representation

  41. Type of Sets

  42. Subset,Power set and Universal set

  43. Intervals as subset of 'R'

  44. Venn Diagrams

  45. Laws of Algebra of Sets

  46. Important formulae of no. of elements in sets

  47. Basic Concepts of Functions

  48. Graphs of real valued functions

  49. Graphs of Exponential , Logarithmic and Reciprocal Functions

Each of the above topics has a simple explanation of concepts and supported by selected examples.

I am sure that this course will be create a strong platform for students and those who are planning for appearing in competitive tests and studying higher Mathematics .

You will also get a good support in Q&A section . It is also planned that based on your feed back, new course materials will be added to the course. Hope the course will develop better understanding and boost the self confidence of the students.

Waiting for you inside the course!

So hurry up and Join now !!

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Instructor Details

Sandeep Kumar Mathur

An Engineer by profession, having passion for Mathematics and love for dissemination of knowledge to genuine seekers, Sandeep Kumar Mathur opted to devote his full time in his academic pursuit from 2000 after spending more than 15 years in industry. His keen interest in Mathematics, strong desire for learning and long industrial experience has strengthen his skill of making mathematics more interesting as applied subject. His strong command on basics and field experience of applied mathematics in industry has made it possible for him to make his students understand and solve even the complex problems using simple routes and techniques. He has authored books on mathematics for different categories of students.

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Reviews

4.3

662 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Mahesh Kovuru on 8/31/2026

Excellent, I went my school and college days and recall my studies and the teachers who taught math's for me. Really awesome course with experienced person , I hope these concepts are very helpful to learn AI further. Thank you Sir.

By Ioannis Parmakis on 5/28/2024

It's worthy ONLY if you on discount as a review of linear algebra. However, this course is taking TOO long for just a synopsis, since no explanations and proofs are provided. I understand that the course is supposed to be a quick summary, but if you are to exclude explanations and proofs, them do not spend 15 minutes showing all the trivial steps of calculating the product of two matrices!!? Also, when you repeat the same exact sentences changing a couple of words is NOT an explanation. Overall, bad teaching experience. P.S. finally, if you aspire to teach, you should at least spend a couple of minutes to find out how you should articulate multiplication and division.

By Crish on 2/25/2024

I work as an IT Enterprise Architect in a European firm and wanted to get the background of the maths involved in Data science, Data analysis and Machine Learning, this course by Sandeep Sir is absolutely brilliant. All concepts are made simplified, better explained and easier to grasp. … Thank you very much Sir. One minor suggestion, since this is a hugely notes type of subject (vast formulas to remember, altleast initially), it would have been better that you could have kindly added some notes at the end of each section. The vast illustrations that you provide could also be a part of this notes, so that it becomes easier for guys to copy it and reference it later. btw, you do remind me of my maths teacher … God Bless You.

By M T on 2/14/2024

Big applause for the teacher. He was able to awaken my interest in the topic. Thorough analysis of the problem from scratch, so that it is easy to follow the teacher. You can see that the teacher has great passion and heart for teaching. The notes on the board are great! I wish there were more math teachers like this. Thank you.

By Md. Mojammel Haque on 6/17/2023

Nice course- really enjoying- my rating is 5 out of 5. But I have a feedback which is- If it is possible please provide the lecture notes relevant to each lectures - then it would be helpful for everyone to review lectures later- instead of going each videos one by one.

By Anonymized User on 5/25/2023

Really appreciate the efforts, the facilitator has taken up to discuss such complex topics. Really beneficial for working professionals like me, to brush up the principles, after years of leaving school.

By Lawrence Monyei on 1/5/2023

Are you planning to take Linear Algebra in College/University, or you don't have/know the fundamentals of Linear Algebra? Do you need the mathematical foundations of Data Science and/or Machine Learning? Start with this course now! Yes, now!! Else, the needed fundamentals will elude you.

By Anurag Pradhan on 6/17/2022

The teacher is good, content is alright as well. However, the production quality isn't top-notch. I would say it's somewhat below average. It's as if the teacher recorded himself from the front camera of his phone.

By Ramakanth Naidu Kusu on 5/19/2022

Excellent teaching sir., Thanks alot. Can we get the material, which you are teaching. It will very helpful for our revision. Because if we want to watch vedios again for revision it will take more hours of time.

By Nm on 5/15/2022

Sir, What is Linear Algebra ( This is not covered) ! Why only Linear Algebra is important or other Methods are important. Why is the use of tensors. Will it be covered later.

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Overall Score : 86 / 100