# Maths for Data Science by DataTrained

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

## Requirements

• 10th class Level math knowledge is expected

## Description

Overview: Explore the application of key mathematical topics related to linear algebra with the Python programming language.

Expected Duration: After completion of this course, you should be able to accomplish the objectives from the following lessons and topics.

1. Lessons on Math for Data Science & Machine Learning:

2. Understand how to work with vectors in Python

3. Basis and Projection of Vectors: Understand the Basis and Projection of Vectors in Python

4. Work with Matrices: Understand how to work with matrices in Python

5. Matrix Multiplication: Understand how to multiply matrices in Python

6. Matrix Division: Understand how to divide matrices in Python

7. Linear Transformations: Understand how to work with linear transformations in Python

8. Gaussian Elimination: Understand how to apply Gaussian Elimination

9. Determinants: Understand how to work with determinants in Python

10. Orthogonal Matrices: Understand how to work with orthogonal matrices in Python

11. Eigenvalues: Recognize how to obtain eigenvalues from eight decompositions in Python

12. Eigenvectors: Recognize how to obtain eigenvectors from eigendecomposition in Python

13. PseudoInverse: Recognize how to obtain pseudoinverse in Python

## Who this course is for:

• Beginner python developers looking for a data science career

## Course content

1 section13 lectures55m total length
• Introduction
01:09
• Understand how to work with vectors in Python
05:23
• Understand the Basis and Projection of Vectors in Python
05:23
• Work with Matrices
03:34
• Matrix Multiplication
04:33
• Matrix Division
04:30
• Linear Transformations
03:28
• Gaussian Elimination
02:48
• Determinants
05:14
• Orthogonal Matrices
04:52
• Eigen values
05:45
• Eigenvectors
04:29
• PseudoInverse
04:06

## Instructor

Data Scientist and HR Head at DataTrained

I regard myself as a divine professional and have got 6 years of experience into HR and have got more than 7 years of experience  in HR Analytics. I am heading the HR analytics team at DataTrained and is also heading the HR team.

This course has been designed for the students who want to brush up their basics on math usage in data science using Python as a tool.