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University of Michigan — Introduction to Data Science in Python — Week One
I have decided to broaden my horizons and my understanding of Python. To do this, I enrolled in a course titled “Introduction to Data Science in Python” which is the first course in the “Applied Data Science With Python Specialization”.
The first week of this course focuses on catching students up to speed with Python programming. It provides a brief overview of functions, objects, variable declarations, lists, dictionaries, types and libraries. This first week teaches students what data science is and why it is important. This course is labeled as an introduction, but it I would place its difficulty in the intermediate range. I would not recommend taking this course as your first course in computer science. They instructors move quite fast and explain the differences between Python and other languages in more technical terms. The course starts off fast and I suspect it will not slow down. You may feel the need to watch and rewatch the videos in order to grasp all of the important concepts. This course definitely requires a prerequisite of statistics. The instructors warn you right off the bat that you will need to know statistics and some higher level mathematics, and they were not joking.
I would say to take this course once you have taken a Python course dedicated to business or excel. For…
