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

## 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

### Explore the application of key mathematical topics related to linear algebra with the Python programming language

## 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 :

- Importance of Linear Algebra
- Types of Matrices
- Importance of Statistics for Data Science
- Statistics : An Introduction
- Importance of Calculus for Data science
- Importance of Euclidean Geometry
- Set Theory : Definition and its representation
- Type of Sets
- 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 !!