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Learn NumPy for Data Science (Course II)

Learn NumPy for Data Science (Course II)

Welcome to Course II!

Welcome to this extensive course on NumPy for Data Science!

NumPy is a scientific computing library in Python that provides a high-performance multidimensional array object and tools for working with these arrays. This course aims to introduce students to NumPy and its functions. It is one of the most important libraries used in the field of Data Science, Machine Learning, and Artificial Intelligence.

Objectives of the course

The learning objectives of the course are set out as follows:

  • Learn how to download and install NumPy in your system.
  • Learn about basics of NumPy arrays.
  • Learn about various array operations in NumPy.
  • Learn about the input/output operations in NumPy.

You can expect to have all of these objectives met by the time you reach the end of this course.

Pre-requisites for the course

For this course, you need to be familiar with the Python Programming Language. If you are new to Python, you can check out our previous course on Learn Python for Data Science.

Best way to work through the course

This course is detailed and requires a good amount of attention from your end.

If you come across any problem, please check to see if your code matches exactly with the course or not. If you still are facing errors or have some doubts, please provide your question through the comment section of the specific chapter you are stuck on.

We also recommend you join our community and get connected to our vibrant network of data science aspirants. Once you are in the community, you can share your learning, form a study group or even get help building a project around NumPy.

Ready to add a fundamental skill in your Data Science journey? See you in the course!

Comment (1)

  1. Hussain

    Incredibly clear and concise course
    would recommend keeping an open source version but offering colleges, companies retraining services
    also considering the quality of this course I’m surprised it’s not as well known as it should be. Maybe contact freeCodeCamp for some advertising?

    many thanks, excellent revision for exactly what I needed

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