NumPy for Data Science Beginners: 2021

Learn first step towards Data Science with all important concept of Numerical Python NumPy in Python For Data Science
Rating: 4.2 out of 5 (41 ratings)
7,067 students
English
English [Auto]
Different Numpy function applied as Matrix/Array Operations
Different Numpy function for Linear Algebra, Statistics, Math
Numpy for Matplotlib visualization
Numpy Quizzes

Requirements

  • Basic knowledge of Python Programming Language

Description

Wanna learn NumPy?

Look no further. This course covers everything from how to install and import NumPy to how to solve complex problems involving array creation, transformations, and random sampling.

Course Structure

The course is presented as a series of on-demand lecture style videos with lots of animated examples, code walkthroughs, and challenge problems to test your knowledge. Go as fast or as slow as you want.


It's difficult to describe everything around us with just one number. The world is multidimensional. The data we are consuming, product we use on daily basis, from non living organism to living organism require many feature to fully characterise and quantify it.


So if you want to learn about fastest python based numerical multi dimensional data processing framework, which is the foundation for many data science package like pandas for data analysis, sklearn scikit-learn for machine learning algorithm, you are at right place.


This course introduce with all majority of concept of NumPy - numerical python library.


I will teach from what and why of NumPy to all important concept of N dimension data processing


This course covers following topics.

  • Why and What NumPy is

  • NumPy installation

  • Creating NumPy array

  • Array indexing and slicing

  • Array manipulation

  • Mathematical & statistical function

  • Linear algebra function

  • How to persist NumPy array

  • Numpy practical application on Images

  • RGB Image to Gray scale conversion

  • Apply average and edge detection filter on images

Go to my other course needed for Data Scientists. See you inside course.


Happy learning

Abbosjon Madiev

Who this course is for:

  • Data Science Beginners
  • Anyone who want to learn how to process N dimensional Data
  • Anyone who want to learn Numpy - Numerical Python Library.

Course content

7 sections19 lectures1h 50m total length
  • Introduction
    04:35
  • Installation
    04:20
  • Course_Overview
    00:55
  • Import
    07:40

Instructor

Computer Scientist
Abbosjon Madiev
  • 4.2 Instructor Rating
  • 136 Reviews
  • 15,023 Students
  • 4 Courses

Currently I am a college student majoring in Computer Science. While I was learning programming languages, I struggled to find the best resource from which I can learn all the fundamental. Because of this I am creating course where you can enjoy coding and learning. But everything I learned helped me to make new innovation and build my own startup.