Top 5 Courses to learn NumPy for Python and Machine Learning Developers in 2021 - Best of Lot

Hello guys, if you are learning Python or Data Science and want to learn NumPy library and looking for the best resources then you have come to the right place. EArlier, I have shared the best Python courses as well as the best courses to learn Data Science and in this article, I am going to share best courses to learn NumPy library, one of the most popular Python libraries for numerical calculation. If you don't know, Python is almost the popular programming language and has dominated every business sector from web development to making artificial intelligent models and IoT devices and is considered the most-loved language among data scientists and analyzers.

Learning this language is straightforward, but you also need to know its packages, which allow you to visualize your data using matplotlib, for example, or create a deep neural network using Keras or TensorFlow or PyTorch and maybe build a web application using Flask or Django.

One of the Python libraries that everyone should learn is called NumPy, which is used in numerical calculation and scientific computing. 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

It uses less memory to store the data than python, and you will need it a lot if you plan to be a data scientist or machine learning engineer and many other fields, and these online courses will help you to learn and master NumPy from scratch. 





5 Best NumPy Online Courses for Beginners in 2021

Without wasting any more of your time, here is my list of best NumPy courses for both beginners and experienced Python developers. These NumPy courses have been created from sites like Udemy, Pluralsight, and Datacamp. It also includes both free and paid courses. 


1. The Complete NumPy course For Data Science

This course contains 3 hours of video content, but it is enough to learn the basic to intermediate user of the NumPy package. If you want to be a data scientist or learn to process N-dimensional data, then this simple course is the right for you, and the only required thing is you have the basics of python language.

You start by creating simple NumPy arrays, understanding the array attributes, and learn about NumPy indexing & slicing. Later, you will perform some array operations such as array broadcasting, which solve the issues of applying math on different arrays of different shapes. 

You will use the arithmetic operation on arrays. Finally, learn about one-hot encoding and converting the image's color, and applying an image filter.


Best NumPy courses for beginners



2. Doing more with Python Numpy

Another great course to learn the NumPy library in-depth with more than 4 hours of video content. After finishing the course, you will understand why we should use NumPy over the regular python code for array calculations and more concepts around arrays in python. It has some quizzes to test your knowledge.

You will start with the basics of arrays, what arrays are as a data container, how to visualize your arrays, and how to perform array indexing & slicing on 2D and 3D arrays. 

You will also see the performance between applying the same operation on a python list compared to using NumPy arrays. Later, you will see how to use many different NumPy algorithms to perform specific arrays and learn about array broadcasting.

Top 5 Courses to learn NumPy for Python and Machine Learning Developers



3. Complete NumPy course with applications 2021 [Udemy Course]

This course is minimal and easy for people who want to overview the NumPy library with less than 2 hours of video content. 

You can enroll in this course if you are a data scientists student or interested to learn machine learning and deep learning, and it requires only a basic understanding of python.

You will begin by creating arrays using NumPy and how to access its elements and slicing them into other small arrays, copying NumPy arrays, joining two arrays, applying mathematical operations on arrays with the same shape and with arrays of different shapes. 

Best Udemy Course to learn NumPy



4. Introduction to Python [Best and Free DataCamp Course]

I've mentioned earlier that after learning python you probably should learn NumPy because it will make it easy to learn any domain in the python programming language like data analysis or data scientists or even machine learning and if you don't even know how to use python then you can take this course to learn both in one place.

An introduction to the concept of python language like variables and its data structure and data types then learning python lists and you should understand it very well because it will make it easy for you to deal with NumPy later. 

Then learn some pre-built python functions and methods before jumping into NumPy and create arrays and apply what you will learn in real datasets and more. 

By the way, you need a Datacamp plan to access this course. They have different plans like standard, professionals, and premium which allows access to all projects. I recommend the standard plan because it is right-priced and you get access to all the essentials to grow your data skills.

The standard plan gives you access to 350+ courses, 14 career tracks, 50+ skill tracks, unlimited practice challenges, and live code along. It cost around $25/month on an annual plan and it's totally worth it.  You can also try DataCamp for free for 7 days, which is definitely worth checking out. 


Best Datacamp Course to learn NumPy



5. Working with Multidimensional Data Using NumPy [Best Pluralsight Course]

Learning to deal with multidimensional data is a mandatory skill if you are intending to work with complex data and you need to get it in the right numeric form before feeding them into a machine learning model or visualizing your data.

First, you will get the basic idea of creating, printing, and performing some math operations to multidimensional data. You will learn to index your arrays, access certain items inside the array, and manipulate pictures using NumPy. 

Later, you will apply some operations on arrays of different shapes. By the way, you would need a Pluralsight membership to join this course which costs around $29 per month or $299 per year (14% discount). 

I highly recommend this subscription to all programmers as it provides instant access to more than 7000+ online courses to learn any tech skill. Alternatively, you can also use their 10-day-free-pass to watch this course for FREE.


Best Pluralsight Course to learn NumPy



Conclusion

That's all about the best online courses to learn the NumPy Python library for beginners in 2021. Numpy library should always be in your belt whether you are a machine learning engineer creating artificial models or a data scientist analyzing your data. This library will make your work easy and save you a lot of time and effort.


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

P. S. - If you are keen to learn NumPy and looking for a free NumPy online course then you can also check out this Deep Learning Prerequisites: The Numpy Stack in Python V2  course by 360 careers on Udemy. This 2-hour long course is completely free and was created by one of the reputed instructors on Udemy. I highly recommend you to join this course and all you need is a free Udemy account. 


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