Math for Data science,Data analysis and Machine Learning For Free

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Ruchika oberoi

Staff member
Mar 27, 2022

Math for Data science,Data analysis and Machine Learning (UPDATED 4/2022) Download For Free


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

What you’ll 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

Basic knowledge of Math will be needed to finish the 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 :

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

Rank of a Matrix

Echelon form and its Properties

Eigenvalues and Eigenvectors

Importance of Statistics for Data Science

Statistics : An Introduction

Statistical Data and its measurement scales

Classification of Data

Importance of Calculus for Data science

Average and Marginal Concepts

Concepts of Maxima and Minima

Elasticity : Price elasticity of supply and demand

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 e x a mples.

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 !!

Who this course is for
Students of engineering, data science, machine learning and python programming

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