Python Data Science: NumPy

Coursera MOOC / Non-credit USD 49
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Python Data Science: NumPy

About this course

In this course, you'll continue developing your data science skills in Python by working with one of the most fundamental data science libraries—NumPy. You'll create NumPy arrays, load and save NumPy data, and analyze data in arrays. You'll also manipulate and modify data in those arrays. This is the second course in a multi-course Specialization. All of the courses in this Specialization require that you use the provided virtual machine, which includes an installation of Python and data science libraries. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.

What you'll learn

  • creating NumPy arrays
  • loading and saving NumPy data
  • analyzing data in arrays
  • manipulating and modifying data in arrays

Skills you'll gain

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