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
Python Data Science: NumPy
This course is part of Using Data Science Tools in Python Specialization
Instructor: Bill Rosenthal
Access provided by Capgemini
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
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
Recently updated!
January 2026
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Explore more from Data Science
Duke University
University of Michigan
