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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

3.87 / 5.0
11298 students1 hours 51 minutes

Created by Abb Selec, offered on Udemy

bestcourses score™

Student feedback

6.1/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 11298 students which left 130 reviews at an average rating of 3.87, which is average.

Course length

8.7/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 1 hours 51 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score

6.3/10

This course currently has a bestcourses score of 6.3/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.

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

What you will learn

  • 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
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Frequently asked questions

  • Price: Free
  • Platform: Udemy
  • Language: English
  • 1 hours 51 minutes
NumPy for Data Science Beginners: 2021 thumbnail

bestcourses score: 6.3/10

There might be better courses available for this topic.