This is a question for people who have completed the IBM Data Science certificate specialization.
So I've completed up to the seventh course of the series - Data Visualization with Python. Compared to any of the previous courses' assignments, the final assignment was quite difficult in that it asked the user to do many things that were beyond the course material. This was a challenge for people who don't have a background in programming.
Would this be a similar situation for the last two courses for completing the specialization? I heard that the capstone project is difficult as well. Are they difficult in the same way - requiring the learner to do a lot of outside research for topics not directly included in the course material?