Free Online Numpy and Scipy Course

NumPy and SciPy are two widely used Python libraries that are essential for domains like data science, machine learning, etc. This free course is a great way to develop skills that will help you later in your career path. This NumPy and SciPy is a self-paced learning program with a hands-on approach.

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3 Hrs
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1065
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Intro Video
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This course includes:

  • Quizzes and Assignments
  • Lifetime Access
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Numpy & SciPy skills you will learn

NumPy
NumPy Array
Inspecting a NumPy Array
Mathematical functions using NumPy
NumPy Array manipulation
Indexing and Slicing
NumPy vs List
SciPy
Sub Package Cluster

About Course

Intellipaat’s free tutorial to Numpy & SciPy will help you develop an understanding of these popular Python libraries that aids in numerical calculations and computations; and, scientific, engineering, and data science programming. In this course, we will cover topics such as installation and how to perform NumPy arithmetic operations. Read More

Course Curriculum

Module 1: NumPy & SciPy Tutorial

1.1 Introduction to NumPy
1.2 Initializing a NumPy Array
1.3 Inspecting a NumPy Array
1.4 Performing mathematical functions using NumPy
1.5 NumPy Array manipulation
1.6 Indexing and Slicing using NumPy
1.7 NumPy vs List
1.8 SciPy Introduction
1.9 Sub Package Cluster
NumPy: Quiz

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FAQ's

Program

What are the prerequisites of this free NumPy & SciPy tutorial?

There are no mandated prerequisites for this course. However, basic knowledge of programming will be beneficial for better understanding.

Who are the course instructors and how are they selected?

Our subject matter experts are selected from top MNCs, who have over 12 years of experience in the Data Science domain, as instructors.

This tutorial is only meant to give you an understanding of the two basic Python libraries. No job assistance or job guarantee is provided with this free course. You will, however, be able to take up a related course to further your career with the knowledge you will have acquired from this course.

You can use Python without knowing either of the two libraries. However, it is recommended that you have a good hold of NumPy & SciPy before starting. It gives you an edge over other beginners as you can grasp things easily.