Udemy is known for offering a wide range of NumPy courses for people of various skill levels. Udemy has a course for you whether you want to master the fundamental ideas or upgrade your existing NumPy skills. Beginners to Advanced NumPy, Learn NumPy Fundamentals, The Complete NumPy Course for Data Science, and Deep Learning Prerequisites are among the highest-rated and best-selling courses on the list. Most importantly, each of these courses includes brief video lectures, quizzes, practice exercises, and other resources to assist you in improving your learning abilities. You will also receive a certificate of accomplishment from Udemy after completing each course, which you can use to demonstrate your abilities.

Highlights:

• An extensive list of NumPy courses and tutorials, which covers the fundamentals as well as advanced concepts
• Designed by expert instructors of Udemy, who have years of experience in providing NumPy training and coaching
• Get access to multiple video lectures, graded assignments, and case studies that are designed to help you learn the problems often faced in NumPy
• Each course is available with a 30 days free trial and the freedom to study from your comfort zone without any deadlines

Duration: Self-paced

Digitaldefynd Rating: 4.5/5.0
Enroll here: https://www.udemy.com/topic/numpy/

If you're seeking for engaging courses that will help you master every nuance of NumPy, this list of courses from LinkedIn Learning might be a good fit as NumPy Courses & Training offered by LinkedIn Learning is among the Best Online Numpy Courses. The best part about these courses is that they were all prepared by industry experts and seasoned professors who have extensive experience with NumPy. NumPy Data Science Essential Training, Create Arrays from Python Structures, Data Frames in Pandas, and Statistics are just a few of the courses on the list. You will receive a certificate of completion after completing these courses with the assigned tasks and projects.

Highlights:

• Learn the basics and advanced concepts of NumPy, such as how it can be used with Python programming, how to create pie charts and bar charts with NumPy, etc.
• Cover a wide variety of topics during the training, such as Linear Algebra, Creating NumPy Arrays, Line space, Zeros, Data Types, Magic Squares, and many more
• Get constant support and help from your instructor or a team of specialists who will help you resolve your queries related to the course material
• 10 days free trial with every course and training

Duration: Self-paced

Digitaldefynd Rating: 4.4/5.0
Enroll here: https://www.linkedin.com/learning/topics/numpy

This GitHub lesson is the greatest alternative for people who are just getting started with NumPy and Data Science and don't want to spend any money on learning. This lesson will teach you how to use Python programming for any work in data science, as well as provide you with a strong understanding of NumPy ideas. Justin Johnson, an experienced data scientist with a strong understanding of Python programming and NumPy, authored the lesson. He will provide you with further support in order to aid you in resolving the course questions. After completing this session, you can continue on to more advanced NumPy and Data Science courses.

Highlights:

• An extensive free tutorial that can help you build a strong knowledge of various Python and NumPy concepts for data science
• Cover multiple topics and concepts during the tutorial, such as Python versions, basic data types, lists, containers, dictionaries, sets, and much more
• Cover multiple topics and concepts during the tutorial, such as Python versions, basic data types, lists, containers, dictionaries, sets, and much more
• Included with real-world coding examples and problems to help you understand the subject and topics more clearly
• Included with real-world coding examples and problems to help you understand the subject and topics more clearly

Duration: Variable
Digitaldefynd Rating: 4.3/5.0

Enroll here: https://www.linkedin.com/learning/topics/numpy

NumPy Courses offered by Coursera is definitely worth-mentioning. Coursera is a leading e-learning platform that offers a variety of practical NumPy courses to help people learn more about the language. Enrolling in these courses will enable you to cover a variety of NumPy for data science topics, including understanding and visualizing data with Python, data processing with Python, and so on. IBM Data Science, Python for Data Science and AI, AL Workflow: Machine Learning, Visual Recognition, and NLP, and many others are among the best-selling and highest-rated courses on the list. After completing these courses, you will receive a certificate of accomplishment that you may display to potential employers to demonstrate your abilities.

Highlights:

• An amazing list of NumPy and Python courses that will help you enhance new skills and improve your career in data science
• Designed by some of the top-rated universities and institutions around the world, such as IBM, Nanjing University, University of Michigan, University of Pennsylvania, and many more
• Enroll yourself in master’s degree and nano degree programs to earn a post-graduate degree in Data Science with Python
• Be a part of a specialization program if you want to learn multiple courses and subjects at one time
• Included with graded quizzes, assignments, hands-on exercises, real-world projects, video lectures, and much more

Duration: Variable

Digitaldefynd Rating: 4.4/5.0

Enroll here: https://www.coursera.org/search?query=numpy&

edX is another fantastic e-learning platform that offers NumPy and Python courses for people of all skill levels. What's more, these courses are designed and reviewed by some of the world's leading universities and organizations, like IBM, UC San Diego, and others. You will learn how to create multi-dimensional arrays and high-level mathematical functions, as well as how to do high-level scientific computing, by taking these courses and tutorials. Throughout the course, you will be supported by a team of specialists who will assist you in better understanding the themes. You will also have to pay a modest cost if you wish to receive a certificate of completion after completing the course.

Highlights:

• Get an overview of the capabilities of NumPy, which includes multi-dimensional arrays, linear algebra capabilities, Fourier transformations, and other high-level operations
• Get introduced to the fundamentals of array objects, building high-performance programs that can segue to deep learning with PyTorch, etc.
• Learn how NumPy’s features like random number capabilities, array creation, and arithmetic operations fit into Python ecosystem
• Learn to build practical applications for data science and deploying models with different libraries
• Each course comes with multiple video lectures, quizzes, graded assignments, rich-learning content, hands-on projects and much more to enhance your knowledge

Duration: Self-paced

Digitaldefynd Rating: 4.4/5.0

Enroll here: https://www.edx.org/learn/numpy