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Ratings and Reviews for Introduction to Data Science in Python

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Reviews and Ratings

4.5

23,517 Ratings from Coursera

Reviews

Very useful course.
ok
The format of the presented material - essentially a live transcripting of the lecture - was not a very helpful way to present the information. I would rather listen to the words, rather than wasting space having them written out, and have longer to study the code snippets. An explanation of what each of the code snippets is doing would also be enlightening. And the lecture material didnt really relate to the content of the assignments, those had to be solved through self-study. By Week 3 Id given up trying to absorb anything from the lectures and was teaching myself how to solve the assignments using the internet. Consequently, Im not confident that the solutions I implemented are elegant rather than just brute force and ignorance; a model answer or equivalent would be helpful for teaching the idioms of python. I only completed this course because it was a prerequisite for a data science training specialism organised by my company, otherwise I would have abandoned. This course can be summarised as "figure it out for yourself".
Muy buen curso, la practica ayuda demasiado al aprendizaje, además de que atrasándose se pude reprogramar las fechas lo cual ayuda cuando no se cuenta con mucho tiempo libre.
An Intermediate level course. you must have prior grip on python in order to expertly understand and employ this in to practice. Overall the course is Highly detailed with each and every thing elaborated and the disussion forum is very responsive. Loooking forward to use these skills in my future Career.
informative course
Excellent course with variety of examples and practice material.
Good but I personally found the time required for the assignments a bit unrealistic, having some basics in programming but not in Python.
Overall, the course is really good for those new to python and its data science ecosystem and as always the instructor is expert at what he is teaching. In addition to that, the references provided in the course contains much more information for the interested students. The only missing piece for me is course coverage, I hoped to get more details about pandas and regular expressions from the course itself.
Great introduction to data science using Python. The weekly assignments are very challenging and if you are able to complete the course, you can give yourself a pat on the shoulder.

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