Introduction to NumPy, Short Course | Part time online | Data Camp | United States
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Introduction to NumPy

1 days
Duration
Free
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About

Join the Introduction to NumPy course at Data Camp and learn how to use NumPy arrays in Python to perform mathematical operations and wrangle data with the best of them!

Overview

Join over 9 million learners and start Introduction to NumPy today!

NumPy is an essential Python library. TensorFlow and scikit-learn use NumPy arrays as inputs, and pandas and Matplotlib are built on top of NumPy. In this Introduction to NumPy course at Data Camp, you'll become a master wrangler of NumPy's core object: arrays! Using data from New York City's tree census, you'll create, sort, filter, and update arrays. You'll discover why NumPy is so efficient and use broadcasting and vectorization to make your NumPy code even faster. By the end of the course, you'll be using 3D arrays to alter a Claude Monet painting, and you'll understand why such array alterations are essential tools for machine learning.

Programme Structure

Courses include:

  • Understanding NumPy Arrays 
  • Array Mathematics! 
  • Selecting and Updating Data 
  • Array Transformations

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Prerequisites 

  • Intermediate Python

Tuition Fee

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  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.

Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing

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