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.

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.

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.