 # Math for Data science,Data analysis and Python Programming Learn math for Data science,Data analysis,Machine Learning and Python Programming

## Description

In this course, we will learn Math for data science,Data analysis,Machine Learning and Python Programming 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.

Here, this course covers the following areas :

1. Importance of Linear Algebra
2. Types of Matrices
3. Importance of Statistics for Data Science
4. Statistics : An Introduction
5. Importance of Calculus for Data science
6. Importance of Euclidean Geometry
7. Set Theory : Definition and its representation
8. Type of Sets
9. Subset,Power set and Universal set

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 !!

## Content

Introduction
Introduction
Linear Algebra
Importance of Linear Algebra
Introduction
Types of Matrices
Statistics and Probability
Importance of Statistics for Data Science
Statistics : An Introduction
Calculus
Importance of Calculus for Data Science
Euclidean Geometry
Importance of Euclidean Geometry for Data Science
Discrete Math
Set Theory : Definition and its representation
Type of Sets
Subset,Power set and Universal set

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