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Learn NumPy for Data Science (Course II)

Learn NumPy for Data Science (Course II)

Learn NumPy for Data Science (Course II)

Welcome to this course on NumPy for Data Science!

In this course, you will be learning about NumPy, a scientific computing library in Python, right from the basics into more advanced topics needed for having a strong grasp of the library.

NumPy 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 different data types used in NumPy.
  • Learn about array and array operations in NumPy.
  • Learn 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.

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

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Kharpann was founded by a team of mathematicians, programmers and machine learning/artificial engineers with a vision to help businesses find their data science team faster and to help them grow with their own data.
Price Free
Instructor Kharpann
Duration 1 week
Lectures 7
Enrolled 1655 students
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