Ratings and Reviews for Introduction to Data Science in Python

The course content is very good. The videos are very good. Unfortunately this course is severely hurt by a very high ratio of non-learning work to learning work. This is due to some issues that could be easily addressed. The questions are poorly worded or ambiguous about critical details. Some of these details are hidden in the forums, but that's a waste of time. Some of the assignments do not directly bear on the course content and involves much "self-learning". Unfortunately this means I do not know if my self-taught methods are optimal - there is no feed back or checking. So you can do very poor coding but still pass in scoring and never get any feedback to improve your coding skills. All along, some very simple hints about what libraries and methods to use for each question would prevent lots of blind searching on the web. There are some helpful instructors and helpers haunting the forums, but they are not always around, and they are not always implementing permanent fixes to the problems that are frustrating students. One shouldn't have to hunt around forums to find out about broken pieces of the application or other errors in the course. Finally, the grading system is unstable and the Jupyter Notebook system is also not very stable, leading to many submissions and resubmissions just to make sure it got through for grading. For these reasons it took much more time than three weeks for me personally. I would not have signed up had I known.

The lectures are much too concise, practice is scarce which renders an overall frustrating experience.

Nice course to get started with Data science, hopefully i can combine this with kaggle based challenges. looking forward to the rest of the courses in the specialization

The lecture python examples could be closer to the homework requirements.

Before Machine Learning comes a lot of Human Action. This Data Science course provides a solid basis for understanding and learning the inner works of manipulating very large datasets in Python. Besides the technical aspects I was pleasantly surprised to read and think about the ethical sides as well. I would rate this course 5-star if some exercices were better phrased or if more examples to make some exercises more manageable.

great introduction to Python for Data Science!

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Excellent Course. The homework was really great at testing the material and also extending the content.

The video instruction and content is excellent. My one complaint is that there is enough ambiguity to the assignments to where you must read the forums if you want to pass. I would like to see some refinement in the assignment descriptions. Otherwise the assignments are great for getting the experience you are looking for in a class like this.