Opiniones y comentarios de aprendices correspondientes a Data Analysis Using Python por parte de Universidad de Pensilvania

Excellent course. Assignments /home work explaination need to be rethought. Special thanks to Jahnavi for helping through out the course.

Units Tests in the assignements are a bit buggy but they do give scope to research. Would be nice if the questions then are to the point.

Video lectures were split() into short fragments which I enjoyed very much. Brandon, the professor of the class is very much involved with the audience and he is not monotonous. This is a huge plus! The only point of improvement that I would like to mention is; in some assignments the ask could be more clear. However, this comes with a hidden advantage, it gets you researching the Python libraries/documents, and learn about more advanced topics with trial and error. This is not a class to just watch the lectures, if you like to do self-research and looking for a foundational class to build upon, don't miss it. Make sure to install pyCharm and Jupyter in your local machine to test your code more efficiently (he walks your through how to do that during the class). All in all, this is a high-quality class that deserves five stars, especially recommended for finance professionals.

The instructor, Brandon Krakowsky, is excellent. His instructions are clear and descriptive. He also seems to know when to repeat explanations or specific details. The technical support using Jupyter Notebook is very good. My only complaint is that the auto-grading sometimes doesn't consider that the order of completion may vary while the final results are effectively the same.

This course was very informative and challenging enough to keep my interest. Once I started I did not want to stop. This is my first set of courses in Python and I feel it gives a very good understanding of the language.

I can't really put it into words or appreciate enough how wonderful and valuable this course is.

Good introductory course. Brandon Krakowsky explained all the concepts clearly.

A great course to learn data analysis and visualization using Python

Practice makes perfect, and this course is truly practical

Very informative course. However lessons feel more like telling than teaching. The lecturer could go more in depth.

Videos touching same theme were too short (26 sec, 1 min, etc.) and disruptive. Wish there could be more practices.

course is overall good but face some problem in understanding of homework questions, proper explanation is needed

Short but very informative course. I like it!

meh

The course is very short. I expected more . Out of all the courses I have taken in coursera, this looked weak. The questions and instructions are ambiguous, could be more professional.

The lecture delivery is very good.

Videos and resources were really helpful. But the HW assignments are written poorly. They include typos/ambiguities that force you to spend a lot of time trying to figure out what instructions mean vs actually learning how to code. Little things like writing "less than" when the coder really needs to use "less than or equal to" amount to time wasted that is not spent learning to code. That being said, the TA's for the course are very helpful and have answered most of the questions in the Discussions. But they should probably go back and fix the typos and inconsistencies in the wording of the homework assignments.