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
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
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 :
Importance of Linear Algebra
Types of Matrices
Addition of Matrices and its Properties
Matrix multiplication and its Properties
Properties of Transpose of Matrices
Hermitian and Skew Hermitian Matrices
Determinants ; Introduction
Minors and Co factors in a Determinant
Properties of Determinants
Differentiation of a Determinant
Rank of a Matrix
Echelon form and its Properties
Eigenvalues and Eigenvectors
Gaussian Elimination Method for finding out solution of linear equations
Cayley Hamilton Theorem
Importance of Statistics for Data Science
Statistics : An Introduction
Statistical Data and its measurement scales
Classification of Data
Measures of Central Tendency
Measures of Dispersion: Range, Mean Deviation, Std. Deviation & Quartile Deviation
Basic Concepts of Probability
Sample Space and Verbal description & Equivalent Set Notations
Types of Events and Addition Theorem of Probability
Conditional Probability
Total Probability Theorem
Baye's Theorem
Importance of Calculus for Data science
Basic Concepts : Functions, Limits and Continuity
Derivative of a Function and Formulae of Differentiation
Differentiation of functions in Parametric Form
Rolle;s Theorem
Lagrange's Mean Value Theorem
Average and Marginal Concepts
Concepts of Maxima and Minima
Elasticity : Price elasticity of supply and demand
Importance of Euclidean Geometry
Introduction to Geometry
Some useful Terms,Concepts,Results and Formulae
Set Theory : Definition and its representation
Type of Sets
Subset,Power set and Universal set
Intervals as subset of 'R'
Venn Diagrams
Laws of Algebra of Sets
Important formulae of no. of elements in sets
Basic Concepts of Functions
Graphs of real valued functions
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 !!
Instructor Details
- 4.3 Rating
662 Reviews
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
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.
Quality Score
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Overall Score : 86 / 100






