Linear Algebra for Data Science in Python

Course Cover

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(9)

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Course Features

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Duration

50 minutes

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

50 minutes

Course Description

Learn all about Linear Algebra for Data Science and Python

About This Video

  • Learn linear algebra for data science, and the fundamental concepts
  • Learn how to use matrix, scalars and vectors.

Vectorizing your code is a crucial skill to speed up your calculations and take advantage the power of modern machine learning and deep-learning packages. This course will teach you how to use Python linear algebra for data science.

This course will teach you about vectors, scalars, and matrixes as well as the geometrical meanings of these objects. Learn how to use linear algebra in Python code. You will also be able perform operations such subtraction, addition, and dot product. As you continue to cover the sections, you will be focusing on the various syntactical errors that you might encounter while vectorizing your codes.

You will be able to confidently use linear algebra in your data science projects by the end of this course.

Course Overview

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Learn linear algebra for data science and understand the essential concepts

Understand matrix, scalars, and vectors and learn how to use them

Course Instructors

365 Careers

Instructor

365 Careers is the instructor for this course

Course Reviews

Average Rating Based on 9 reviews

4.2

56%

33%

11%

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