The Complete NumPy course For Data Science : Hands-on NumPy
4.4 (70 ratings)
7,617 students enrolled

# The Complete NumPy course For Data Science : Hands-on NumPy

Learn first step towards Data Science with all important concept of Numerical Python NumPy in Python For Data Science
Bestseller
4.4 (70 ratings)
7,617 students enrolled
Last updated 5/2020
English
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Current price: \$31.99 Original price: \$49.99 Discount: 36% off
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This course includes
• 3 hours on-demand video
• 2 articles
• 1 coding exercise
• Access on mobile and TV
• Certificate of Completion
Training 5 or more people?

What you'll learn
• You will learn Numpy - Numerical Python Library
• Apply Filter on Image with Numpy Operation
• Convert RGB to Grayscale to Binarize image with Numpy
• Apply OneHot encoding technique with Basic Numpy Functions
• Different Numpy function applied as Matrix/Array Operations
Course content
Expand all 29 lectures 03:00:08
+ Introduction
3 lectures 13:44
Preview 06:28
NumPy install and Jupyter notebook
03:43
+ Numpy Array Creation
4 lectures 35:19
Create Numpy array - I
09:33
Array attributes
06:25
Create Numpy array - II
08:22
Random Module
10:59
Create array - I
1 question
+ Numpy Indexing
2 lectures 16:54
NumPy indexing & Slicing - I
07:18
NumPy indexing & Slicing - II
09:36
+ Numpy Array Operation
11 lectures 55:54
03:04
Numpy array iteration
02:17
Array Manipulation
12:17
Binary Operations
04:12
Mathematical Functions
03:21
Arithmetic Operations
04:55
Statistical Function
04:48
Sorting & Searching
04:31
Copy and Views
08:21
Linear Algebra Functions
04:58
I/O with Numpy
03:10
+ Numpy Problem
1 lecture 12:37
Numpy Problem With Solutions
12:37
+ Numpy Practical Application
6 lectures 45:36
One hot Encoding with Numpy
06:44
Image to Numpy Array
06:14
Image Processing operation with Numpy Array - I
09:45
Image Processing operation with Numpy Array - II
04:22
Apply Image Filter with Numpy
13:18
More on Image Filter
05:13
+ Bonus Lecture
1 lecture 00:03
Discount For other course
00:03
Requirements
• Basics of Python Language
Description

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

See you inside course.

Happy learning

Ankit Mistry

Who this course is for:
• Any Python Developer who is curious about Data Science
• Anyone who want to learn how to process N dimensional Data
• Anyone who want to learn Numpy - Numerical Python Library.