Python Programming Certification
Python Programming Certification

Python Programming Course: Python is an interpreted, high-level and general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace.

In this free premium certification candidates will learn Python. This course is a depth introduction to both fundamental python programming concepts and the Python programming language.

Python Programming Course:

What you’ll learn:

  • NumPy For Data Analysis
  • NumPy For Data Science
  • Numerical Computation Using Python
  • How To Work With Nd-arrays
  • How To Perform Matrix Computation

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Requirements:

  • If students knows Python, that is well & good
  • Anaconda Installation to work with the NumPy and Python
  • Basic mathematics
  • Willing to learn data analysis, data science or numerical computation for programm

Who this course is for:

  • Data Analyst Beginners
  • Business Analyst and AI Enthusiasts
  • Python Developers Beginners
  • Who Is Interested In ML, AI and Other Big Data Engineering

Description:

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Hi, welcome to the ‘NumPy For Data Science & Machine Learning’ course. This forms the basis for everything else. The central object in Numpy is the Numpy array, on which you can do various operations. We know that the matrix and arrays play an important role in numerical computation and data analysis. Pandas and other ML or AI tools need tabular or array-like data to work efficiently, so using NumPy in Pandas and ML packages can reduce the time and improve the performance of the data computation. NumPy based arrays are 10 to 100 times (even more than 100 times) faster than the Python Lists, hence if you are planning to work as a Data Analyst or Data Scientist or Big Data Engineer with Python, then you must be familiar with the NumPy as it offers a more convenient way to work with Matrix-like objects like Nd-arrays. And also we’re going to do a demo where we prove that using a Numpy vectorized operation is faster than normal Python lists.

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This course includes:

  • 2 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV

How to Enroll For Free Python Course?

To enroll for Free Python Course you may sign up on Udemy.com and then they must log in there. Click the link provided below to avail this course for free

  1. Sign Up on Udemy.com
  2. To Join this course : Click Here

Apply Coupon Code: 691BF7C42229C59E8E94

**Note: Free coupon/offer may expire soon.**

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