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.
Python Data Science: NumPy
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Python Data Science: NumPy
This course is part of Using Data Science Tools in Python Specialization
Instructor: Bill Rosenthal
Included with
Gain insight into a topic and learn the fundamentals.
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
In this course, you will manage and analyze data with NumPy arrays, and manipulate and modify data with NumPy arrays.
Skills you'll gain
Details to know
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Recently updated!
January 2026
Assessments
1 assignment
Taught in English
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This course is part of the Using Data Science Tools in Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
The foundation of data science in Python® is NumPy. Most of your work will involve NumPy, whether directly or indirectly. So, you'll leverage the power of this library to manage your data and extract useful insights from that data.
What's included
1 reading5 plugins
While analyzing data is an important part of the data science process, so is changing that data to meet your needs. Whether it's to prepare and clean the data, or to modify it for easier analysis and presentation, being able to transform your NumPy arrays is crucial.
What's included
4 plugins
You'll wrap things up and then validate what you've learned in this course by taking an assessment.
What's included
1 reading1 assignment
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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