5 Best Online NumPy Courses & Tutorials of 2023

It is extremely difficult for students with so many NumPy courses to meet their needs. Learners often ask whether for each case there is a NumPy course. The reply is YES. Popular courses are available below. Registration for the right course is a vital factor for your career advancement. This article selected the best NumPy courses in 2023 by hand.

The main purpose is to illustrate each category of the best known and famous courses.

Based on your choice, choose one that best suits your needs.

However, let’s take a look at the best of the market’s NumPy courses.

1. Top NumPy Courses (Udemy)

Duration: Self-paced

Rating: 4.5 out of 5

Udemy is regarded for offering a wide range of NumPy courses for all levels of people. Udemy has a comprehensive course for you, whether you want to learn the basic concepts or develop your existing skills in NumPy. The top classes include Advanced NumPy beginners, Learn NumPy Fundamentals, The Complete NumPy Courses for Data Science and deep learning conditions. Most importantly, each course includes short video tutorials, questions, exercises and much more to develop your learning skills. You will also obtain a Certificate of Completion from Udemy following each class, which can be used to show your skills. Check out our Best Deep Learning Python Courses compilation.

Key Highlights:

• Designed by expert Udemy instructors with many years of NumPy training and coaching experience.
• A detailed list of NumPy courses and tutorials covering basic and advanced concepts.
• Access a number of video lectures, graduation assignments and case studies that help you learn about the problems that NumPy also has.
• Each course is available with a free 30-day trial and freedom to study without any deadlines from your comfort zone.

You can Sign up Here

2. Python NumPy Tutorial (GitHub)

Duration: Variable

Rating: 4.3 out of 5

People who just started NumPy and Data Science and wouldn’t want to put any money in learning then perhaps this GitHub tutorial is the best choice for you. This course will help you understand how Python programming could be used in data science for every task and will help you to gain a firm foundation for NumPy concepts. Justin Johnson, a knowledgeable data scientist with complete understanding of Python programming and NumPy, creating the tutorial. He will provide you additional support to overcome the course questions. You can now switch onto some more advanced courses in NumPy and Data Science after completing this tutorial.

Key Highlights:

• Knowing distinct Python functions and classes and how they are defined in a programming project.
• A large free tutorial that will help you build a strong knowledge of the different data science Python and NumPy concepts. 
• Cover several tutorial topics and concepts including python models, simple data types, lists, containers, dictionaries, collections, etc.
• Learn the comfort of your home without deadlines on any device.
• Includes real-world coding examples and problems to help you more clearly understand the topics

You can Sign up Here

3. NumPy Courses & Training (LinkedIn Learning by Lynda)

Duration: Self-paced

Rating: 4.4 out of 5

If you’re looking for exciting courses to help you equip any NumPy concept, the LinkedIn Learning by Lynda course list could be an ideal choice for you. Best of all, these courses are created by industry professionals and accomplished instructors who work with NumPy for a long time. Some of the courses included NumPy Data Science Essential Training, Create Python Structures arrays, Pandas Data Frames, and Statistics. You earn a certificate of completion when you complete these courses with assignments and tasks.

Key Highlights:

• 10 days free trial with each training session and freedom to get you out of your comfort zone.
• Learn about NumPy’s basics and advanced methods like how to use Python programming, how to build illustrations and bar charts with NumPy etc.
• Get ongoing support and assistance from your instructor or a team of specialists who will help you solve your course material questions.
• Cover a wide range of topics such as Linear Algebra, NumPy Arrays, Line space, Zeros, Data Form, Magic Squares and many others during your preparation.

You can Sign up Here

4. NumPy Courses (edX)

Duration: Self-paced

Rating: 4.4 out of 5

edX is yet another fantastic e-learning platform which offers NumPy and Python courses with all levels of people. More important is that such classes are often developed and evaluated by some of the world’s leading universities and institutions such as IBM, UC San Diego, etc. Those courses and tutorials will help you learn how to build multi-dimensional arrays and mathematical functions, and how to carry out scientific computing at a high level. During the tutorial, you will be helped constantly by a team of experts who will help you to better understand the subjects. Often, if you want to obtain a completion certificate after the course is finished, you have to pay a small fee.

Key Highlights:

• Learn how NumPy fits into the Python ecosystem with features such as random number capabilities, array creation and arithmetical functions.
• Get a summary of NumPy ‘s capabilities, including multi-dimensional arrays, linear algebra capabilities, Fourier transformations and other high-level operations.
• Get introduced to the basics of array objects, create high-performance programs to deeply learn with PyTorch and so on.
• Each course is accompanied by multiple video lectures, questionnaires, graduated tasks, rich content, practical projects and much more to improve your knowledge.
• Learn to build practical data science applications and to implement models in various libraries.

You can Sign up Here

5. NumPy Courses (Coursera)

Duration: Variable

Rating: 4.4 out of 5

Coursera is one of the leading e-learning platforms offering a number of NumPy courses to help people gain comprehensive know-how. Signing up for this course will help you cover a number of NumPy topics for data science, including Python data understanding and visualization, Python data processing etc. Among its list are IBM Data Science, Python for Data Science and AI, AL Workflow: machine learning, visual recognition, and NLP, and much more. The completion of these courses will give you a graduation certificate that you can share with employers in order to show your qualifications.

Key Highlights:

• Enrol in Masters and Nano degree programs to graduate with Python in Data Science.
• An outstanding list of NumPy and Python courses to help you learn new skills and develop your data science career.
• Designed by a few of the top universities in the world, such as IBM, Nanjing University, Michigan University, Pennsylvania University, and many others.
• Including graduated quizzes, tests, practical activities, real tasks, video-conferences etc.
• Be part of a comprehensive curriculum if you choose to study multiple courses and subjects concurrently.

You can Sign up Here

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Wrapping Up

This is the list of the 5 Best Online NumPy Courses & Certification of 2023. They are popular and loved by many data science learners. You will find between these courses what you need to learn in order to continue your data science learning path.