Math for Data science,Data analysis and Machine Learning

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

4.73 (374 reviews)
Udemy
platform
English
language
Math
category
Sandeep Kumar Mathur
instructor
Math for Data science,Data analysis and Machine Learning
4,233
students
21.5 hours
content
May 2024
last update
$84.99
regular price

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

Why take this course?

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 !!

Reviews

Sibin
August 18, 2023
Each and every topic is simplified. Even someone from the commerce background like me can understand.
Sambasiva
July 5, 2023
Great teaching skills. Trainer has tremendous knowledge and deeper expertize on mathematics, most importantly able to explain math concepts so clearly is fascinating.I truly felt lucky to sign up for this course. You made me understand the value of mathematics so deeply. I took this course after finishing the data science and ML trainings. Every concept explained here is very useful in building the DS and ML expertise. I wish an opportunity to learn mathematics from experts like you during my school and college days. You made a difference in my journey of mathematics learning. This learning is a great enabler for Data Science journey. You proved that learning math is truly enjoyable. Thank YOU, Sandeep Kumar Sir. You deserve my million thanks!
Md.
June 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.
Neerav
June 7, 2023
so far learning experience is good.. The teacher is explaining very well in details which helps easy to understand.
Arun
May 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.
Thinknur
May 20, 2023
Sandeep Sir is a great teacher. He has art of simplifying the complex subject. I wish he was my School teacher. Lots of love and respect to you Sir. God Bless You.
Poonam
February 24, 2023
The teacher is extremely good. But the video quality should be better. The lighting is completely off so it becomes difficult to concentrate on the screen.
Sukesh
January 19, 2023
Sir is teaching very nice, even for beginers. But he should use the example of data science to understand more how to use it in data science,
Lawrence
January 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.
Anurag
June 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.
Ramakanth
May 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.
Nm
May 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.
ABDUL
January 4, 2022
A very well explanation and with ease. I have never find Algebra this easy when I was in my college days. A must tutorials for those who really wants to learn maths for data science.

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Related Topics

Math
4337994
udemy ID
10/7/2021
course created date
10/29/2021
course indexed date
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