The Complete NumPy course For Data Science : Hands-on NumPy

Online Course

Udemy
The Complete NumPy course For Data Science : Hands-on NumPy

What is the course about?

The Complete NumPy course For Data Science : Hands-on NumPy
The course The Complete NumPy course For Data Science : Hands-on NumPy is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn first step towards Data Science with all important concept of Numerical Python NumPy in Python For Data Science

Course description
  • The Complete NumPy course For Data Science : Hands-on NumPy
  • You will learn Numpy – Numerical Python Library
  • Apply Filter on Image with Numpy Operation
  • Convert RGB to Grayscale to Binarize image with Numpy
  • Apply OneHot encoding technique with Basic Numpy Functions
  • Different Numpy function applied as Matrix/Array Operations
  • Basics of Python Language
  • 3 hours on-demand video
  • 2 articles
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Ankit Mistry
The Complete NumPy course For Data Science : Hands-on NumPy

Prerequisites & Facts

The Complete NumPy course For Data Science : Hands-on NumPy

Course Topic

Data Science, Development, NumPy

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

The Complete NumPy course For Data Science : Hands-on NumPy

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
The Complete NumPy course For Data Science : Hands-on NumPy
provided by Udemy

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School: Udemy
Topic: Data Science, Development, NumPy