6 Best NumPy Online Courses for Beginners in 2024
My favorite online courses and tutorials to learn and master are NumPy library in 2024.
Hello guys, if you are learning Python or Data Science and want to learn the NumPy library and look for the best resources, you have come to the right place.
Earlier, I have shared the best Python courses and the best courses to learn Data Science. In this article, I will share the 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 NumPy, which is used in numerical calculation and scientific computing. NumPy supports large, multidimensional arrays and matrices, along with an extensive 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 learn and master NumPy from scratch.
By the way, if you are new to Python then I highly recommend you to go through a comprehensive Python course like this Python for Everybody Specialization from Coursera. This will help you to master Python quickly and help you to learn other Python libraries like NumPy, SciPy, or Pandas easily.
6 Best Courses and Tutorials to Learn NumPy in 2024
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 Udemy, Pluralsight, Coursera, edX, and Datacamp. It also includes both free and paid methods.
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 learning 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 converting the image’s color, and applying an image filter.
Here is the link to join this course — The Complete NumPy course For Data Science
2. Linear Regression with NumPy and Python [Coursera Project]
If you are looking for a hands-on course where you can practice Numpy alongside then this is the perfect course for you. This is a guided project from Coursera where you will learn Linear Regression with Numpy and Python.
In this 1.5 hours online project, you will do all the machine learning without using any of the popular machine learning libraries such as scikit-learn and stats models.
The aim of this project is to implement all the machinery, including gradient descent and linear regression, of the various learning algorithms yourself, so you have a deeper understanding of the fundamentals.
This course runs on Coursera’s hands-on coding and project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project.
Here is the link to join this Numpy Project course — Linear Regression with NumPy and Python
The best thing about Coursera project is that everything is already set up directly in your internet browser so you can just focus on learning, you don’t need to download or install anything.
For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, NumPy, and Seaborn pre-installed.
And, if you find Coursera courses useful, which they are because they are created by reputed companies like Google, IBM, Amazon, and the best universities around the world, I suggest you join the Coursera Plus, a subscription plan from Coursera which gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects.
3. Doing more with Python Numpy [Udemy Course]
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 NumPy algorithms to perform specific arrays and learn about array broadcasting.
Here is the link to join this course — Doing more with Python Numpy
4. Complete NumPy course with applications 2024 [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 accessing its elements and slicing them into other small arrays, copying NumPy arrays, joining two arrays, applying mathematical operations on arrays with the same shape with arrays of different forms.
Here is the link to join this course — Complete NumPy course with applications
5. Introduction to Python [Best and Free DataCamp Course]
After learning Python, I’ve mentioned earlier that you probably should learn NumPy because it will make it easy to understand any domain in the python programming language like data analysis data scientists or even machine learning.
If you don’t even know how to use Python, then you can take this free Datacamp course to learn both in one place.
An introduction to the concept of python languages like variables and their data structure and data types was then learning python lists. You should understand it very well because it will make it easy to deal with NumPy later.
Then learn some pre-built python functions and methods before jumping into NumPy creating arrays and applying what you will learn in real datasets and more.
Here is the link to join this course — Introduction to Python
By the way, you need a Datacamp plan to access this course. They have different plans like standard, professionals, and premium, allowing 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 350+ courses, 14 career tracks, 50+ skill tracks, unlimited practice challenges, and live code. It cost around $25/month on an annual plan, and it’s worth it. You can also try DataCamp for free for seven days, which is worth checking out.
6. Working with Multidimensional Data Using NumPy
Learning to deal with multidimensional data is a mandatory skill if you intend to work with complex data. You need to get it in the correct 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 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.
Here is the link to join this course — Working with Multidimensional Data Using NumPy
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.
That’s all about the best online courses to learn NumPy for beginners in 2024. It’s an important Python library for numerical calculation. 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 beginners, 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, 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 entirely free and was created by one of the reputed instructors on Udemy. I highly recommend joining this course, and all you need is a free Udemy account.
