## Introduction

Hello folks, if you are learning Data Science or doing Machine Learning (ML) then you may be aware of NumPy, one of the popular Python libraries for scientific calculation in Python.

Good knowledge of Numpy is essential for Data Scientists and Machine Learning engineers and if you want to learn NumPy library then you have come to the right place.

Earlier, I have shared the best deep learning courses and in this article, I am going to share the best free courses to learn NumPy from scratch.

The popularity of the python programming language is enormous due to its architecture that can support all operating systems Windows, Linux, macOS, and even phones, and also the significant number of its libraries.

Python has many libraries covering different domains you can use python libraries for creating artificial intelligence models building web applications using Django and Flask or even for data analysis to make complex data visualization.

One of the most used libraries and must know called Numpy, this library used in almost every field you can think of like deep learning, machine learning, data science and is used for mathematical calculation and working with arrays and its speed for processing this calculation makes it the preferred one for this task.

Numpy provides support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays which are quite important for Data Scientists.

When it comes to learning NumPy there are many paid courses, but we are focusing on the FREE courses if you are still a beginner and want to get familiar with using them in your projects.

These are the best free online courses you can join to learn NumPy for Data Science and Machine Learning. It’s created by experts and trusted by thousands of developers worldwide, all of them also have 4 start ratings of higher and then are legal free courses, made free by their instructor for learning and education purposes.

## 5 Best Free Courses and Tutorials To Learn NumPy

Without wasting any more of your time, here is my list of best free online courses Python developers and Data scientists can join to learn the NumPy library in depth.

These free courses and tutorials have been taken from sites like Udemy, Coursera, freeCodecamp, and other popular online learning platforms. They are also absolutely free but you may need to create your free account to join these courses.

### LearnNumPy Fundamentals

If you’ve never touched python before, meaning no prior experience before, and you want to learn NumPy as well as the first library after understanding this programming language, then you can jump right away in this course that will teach you using NumPy and many of its algorithms with a small crash course of python.

Starting with a NumPy overview and how it works and downloading the package. You will then directly start creating arrays and apply reshaping and indexing to them.

Later you will learn some of the advanced indexing, and array math applied functions to our NumPy arrays and more. Finally, a small crash course for people with no python knowledge can skip it if you already know working with this language.

Here is the link to join this free course – LearnNumPy Fundamentals

### 2. NumPy for DataScience

Another cool introductory course talking about NumPy is NumPy for data science. It requires people to understand the python language to get their hands into the NumPy package. The course has a quiz in every section to verify your knowledge while learning.

Get familiar with data science and learn how to start working with the NumPy library. Then you start importing and using the NumPy library for making simple arrays and NumPy arrays, and how to generate different arrays formats like 1-D and 2-D NumPy arrays.

You will exploit different functions used in the NumPy library for arrays. Finally, you will go through the indexing and selection of values in NumPy arrays and save the file in binary format.

Here is the link to join this free course – NumPy for DataScience

### 3. Python Basics for Math and Data Science 1.0: Numpy and Sympy

The cool thing I line in this course is that you can learn to perform mathematical calculations using NumPy and another great library called SymPy for symbolic mathematics.

The free course requires some basics in python and some math knowledge, and it will be like a small introduction if you want to have a career in data science or machine learning engineering.

Start by installing the libraries, setting up the environment, moving directly to NumPy metrics, and indexing and slicing the NumPy arrays. You will also learn things like access a matrix column and see some useful functions of NumPy.

Later, you will move to the SymPy library and learn how to solve linear equations with one or two unknowns and solve the quadratic equations.

Here is the link to join this free course – **Python Basics for Math and Data Science 1.0: Numpy and Sympy**

### 4. NumPy for Numerical Computation

Numpy is used in many different fields, so you should have some beginner to intermediate level of using many of its functions.

This course will little bit dive into many of these and try to teach you to fix some of the errors you’ll face while using NumPy. All of the code used is very well documented so you understand what each line in meaning.

Starting with an introduction about NumPy as usual and then moving to use dimensions and operations. You will also understand how to reshape your data, apply it to slice, and use functions to perform calculations like the sum, max, min, and more.

Finally, some other advanced mathematical functions like the square root and standard deviation.

Here is the link to join this free course – **NumPy for Numerical Computation**

### 5. NumPy for Data Science Beginners

For people who want to have a career in data science or machine learning or any field that highly requires an understanding of math and statistics, this course is for you because it focuses on these algorithms and how to perform the different mathematical calculations.

Start with an introduction of NumPy and how to import it inside your project and start directly learning the NumPy array fundamentals and performing indexing & slicing, iteration, understanding data types, and zeros_ones.

Later dive into the statistics and matrix, and apply some functions to NumPy arrays like sorting, searching, and joining data. This free course is also available on the freecodecamp channel on Youtube.

That’s all about the **best free online courses and Tutorials to learn NumPy for Python developers**. The courses listed above are for people who want to understand the NumPy library and how to perform mathematical calculations.

Still, not deep dive into more of this library, and most of them require to have some basic understanding of python, so it is worth learning this language and moving to these courses.

Thanks for reading this article so far. If you like these *best free NumPy online training courses for beginners* then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a comment below.