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Numpy For Data Science

Welcome to Numpy Tutorial !!!
Numpy is the most classic and most frequently library used in Data Science.
Whenever you are dealing with math you will face numpy import and use.
We cover it from the very basic to the expert level. You will require
Basic of maths, Basic understanding of Python, Jupyter Notebook or any IDE.
We will cover What is Numpy?, What is an Array? Matrix, Arithmetic Operation in Numpy,
Deep insight into how it really works in real-world problems,
Plot chart with a bar graph by using Matplotlib introduction,
Introduction of panda and what next after Numpy, Pro tips for Numpy and a lot more.

189 students enrolled

What Will I Learn?

  • What is Numpy?
  • What is an Array?
  • Matrix.
  • Arithmetic Operation in Numpy.
  • Deep insight into how it really works in real-world problems.
  • Plot chart with a bar graph by using Matplotlib introduction.
  • Introduction of panda and what next after Numpy.
  • Pro tips for Numpy.

Description

Numpy is the most classic and most frequently library used in Data Science.Whenever you are dealing with math you will face numpy import and use. We cover it from the very basic to the expert level.

Requirements

  • Basic of maths.
  • Basic understanding of Python.

Tool Used

Jupyter Notebook or any IDE.

Target Audience

Professionals who want to learn data science work can learn Numpy. This tutorial will give you great understanding on concepts present in Numpy to work on data science and AI. It is a basic arithmetic library that is used very heavily by any high-level operation involved mathematical calculations.

 

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Training Information

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Training Duration 10 week
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Wednesday, 31 Dec, 1969
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