# NumPy for Data Science Beginners: 2021 – Free Udemy Courses

## NumPy for Data Science Beginners: 2021 – Free Udemy Courses

### Learn the first step towards Data Science with all important concepts of Numerical Python NumPy in Python For Data Science

#### What you’ll learn

NumPy for Data Science Beginners: 2021 – Free Udemy Courses

• Different Numpy functions applied as Matrix/Array Operations
• Different Numpy functions 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, and products we use on daily basis, from nonliving organisms to living organisms require many features to fully characterize and quantify it.

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

This course introduces the majority of concepts of NumPy – numerical python library.

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

This course covers the 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 Grayscale conversion
• Apply average and edge detection filters on images

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

Happy learning

#### Who this course is for:

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