NumPy for Data Science Beginners: 2021

NumPy for Data Science Beginners: 2021, available at Free, has an average rating of 4.15, with 19 lectures, based on 222 reviews, and has 14974 subscribers.

You will learn about Different Numpy function applied as Matrix/Array Operations Different Numpy function for Linear Algebra, Statistics, Math Numpy for Matplotlib visualization Numpy Quizzes This course is ideal for individuals who are Data Science Beginners or Anyone who want to learn how to process N dimensional Data or Anyone who want to learn Numpy – Numerical Python Library. It is particularly useful for Data Science Beginners or Anyone who want to learn how to process N dimensional Data or Anyone who want to learn Numpy – Numerical Python Library.

Enroll now: NumPy for Data Science Beginners: 2021

Summary

Title: NumPy for Data Science Beginners: 2021

Price: Free

Average Rating: 4.15

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: Free

Quality Status: approved

Status: Live

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

Who Should Attend

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

Target Audiences

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

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Installation

Lecture 3: Course_Overview

Lecture 4: Import

Chapter 2: NumPy Array Fundemantals

Lecture 1: Dim Shape Size

Lecture 2: Index & Slice

Lecture 3: Iteration

Lecture 4: Array Types

Lecture 5: Zeros_Ones

Lecture 6: String

Chapter 3: Math

Lecture 1: Statistics

Lecture 2: Random

Chapter 4: Matrix

Lecture 1: Matrix

Chapter 5: NumPy Array Order

Lecture 1: Sort

Lecture 2: Search

Lecture 3: Split

Lecture 4: Join

Chapter 6: NumPy with Files

Lecture 1: NumPy with Files

Chapter 7: NumPy with Graphs

Lecture 1: Matplotlib

Instructors

Abb Selec
Computer Scientist

Rating Distribution

1 stars: 3 votes
2 stars: 7 votes
3 stars: 47 votes
4 stars: 87 votes
5 stars: 78 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu