Q: Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Question 1

How long does it take to complete the Specialization?

Accepted Answer

The Specialization can typically be completed in 10 to 11 weeks, with a recommended commitment of 3–4 hours per week. This flexible schedule is designed to accommodate both students and working professionals, allowing learners to progress at a steady pace while balancing other responsibilities. By the end of the program, participants will have gained a solid foundation in NumPy and Pandas, along with practical, hands-on experience applying these tools to real-world data analysis projects.

Question 2

What background knowledge is necessary?

Accepted Answer

Learners should have a basic understanding of Python programming, including familiarity with variables, loops, and functions. No prior experience with NumPy or Pandas is required, as the courses are structured to build skills from the ground up.

Question 3

Do I need to take the courses in a specific order?

Accepted Answer

Yes. The courses are designed to be taken in sequence, starting with foundational concepts in NumPy and Pandas before moving into advanced techniques and case study–based projects. This progression ensures that each new skill builds on the previous one, creating a smooth and structured learning path.

Question 4

What will I be able to do upon completing the Specialization?

Accepted Answer

Upon completion, learners will be able to efficiently clean, transform, and analyze data using NumPy and Pandas. They will have the skills to manage real-world datasets, perform advanced operations like grouping, aggregation, and time series analysis, and build end-to-end workflows that turn raw data into actionable insights for business and data science applications.

Question 5

Is this course really 100% online? Do I need to attend any classes in person?

Accepted Answer

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Question 6

What is the refund policy?

Accepted Answer

Question 7

Can I just enroll in a single course?

Accepted Answer

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Question 8

Is financial aid available?

Accepted Answer

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Question 9

Can I take the course for free?

Accepted Answer

No, you cannot take this course for free. 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. If you cannot afford the fee, you can apply for financial aid.

Question 10

Will I earn university credit for completing the Specialization?

Accepted Answer

This Specialization doesn&#x27;t carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.