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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

really good tutorial
very good course
e x c e l l e n t
Great learning!
Very helpful for learning. Suprisingly so.
Very good course. This was probably a little too advanced for me but that's because I jumped too far ahead in my educational journey. Good content!
Very Good!! learned a lot from this course.
Starts off well, then escalates way too quickly. Assignment 4 is incredibly complex and has poor guidance notes.
Is a great course, I don't give it 5 starts not because it is pretty tough (at least for me) but because the lectures are very simple compared to the HW. If you like to be challenged, I fully recommend this course
The course covers good grounds if you are new to pandas. However the content is pretty much a read-through of documentation and assignments are designed poorly: 1) There are loads of knowledge required to finish the assignment that are not addressed in the course. You will need to find those out yourself online, which in itself isn't a problem but you are also paying coursera for the time when you pretty much do self-learning 2) Due to how assignments are graded, you have to provide EXACT answers as the instructors wanted to see, meanwhile you don't get all information needed on what should be the right answer as certain parameters of the assignment are not clearly defined. The forum is disorganised and you end up spending a lot of time browsing through historical posts, some of which remain unanswered after months 3) Too much time spent on data cleaning. Granted that in real world projects data cleaning is at least 80% of the time but this is a learning course. You don't get to spend a lot of time to practice contents covered in video but struggling with the random complexities introduced by the raw data + specific results being expected. This leads to a frustrating experience. Suggestion to the course instructor: re-design the assignments to make sure students spend more time on key points covered by video. Have one assignment focused on data cleaning, but not all of them. Also review forum questions and understand where people get frustrated, and improve your instructions in the assignments. Suggestion to fellow students: it is probably best to enroll the course, note the content/ resources, quit (so you don't need to pay) then learn yourself on google/ stackoverflow. This will be pretty much the same experience.

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