Python Data Science: NumPy

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

• Manage and analyze data with NumPy arrays
• Create, load, and save NumPy arrays
• Analyze data within arrays
• Manipulate and modify data using NumPy arrays

• Basic computer and internet skills
• Ability to read course instructions in English and complete short practice activities