Dec 10, 2017
Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!
Mar 16, 2018
overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .
автор: Alexis E•
Aug 14, 2019
A serious lack of guidance within this course. in order to be successful in the assignments, it is absolutely necessary to look by oneself from outside resources.
Better directly get a position in data analytics and learn once in the job, than actually use this course...
автор: Philip M•
Sep 04, 2017
I had non background with 'pandas' and spent about 90-95% of my time googling the necessary commands, because they are not provided in the lectures. I don't see the point in paying for a course which only provides you with tasks and not the tools to complete it.
автор: HIMANSHU V•
Aug 07, 2019
Not a good course even if someone has done prerequisite courses. Nothing is explained well in lecture videos but expectations are very high in assignment questions. Even if there were no lecture videos, that wouldn't have made any difference.
автор: Maximiliano G•
Jan 28, 2017
Two stars because I have found poor explanations of assignments. I finished the course without being very clear what I was asked, and I lacked more feedback when one of the tasks is wrong. The teacher and the videos are very good.
автор: Madeleine S E•
Sep 24, 2019
The topic explanations and videos are very simple compared to the level of difficulty of the assignments. Also, assignments are ambiguous, it takes a lot of time and forum visits to completely understand what is being asked.
автор: Paul J•
May 28, 2019
I realize Python is prerequisite, but there is very little Python instruction. At a minimum, it would have been very helpful if the professors explained the syntax of the python examples that are shown during lectures.
автор: Mike B•
Jun 05, 2018
I was considering taking the other data science courses offered in this series but was not happy with the way this course was prepared. I completed the course but would not recommend it for beginners.
автор: Judit T•
Dec 04, 2017
The explanations in the videos are very superficial compared to the level you need to demonstrate in the assignments. It's basically self-learning with very negligible amount of guidance.
автор: Simge K•
Mar 05, 2018
I think that this course is not an introduction course. The assignment were really hard. If there was little assignments after 2-3 min. of video lectures, it would be more informative.
автор: Hussain M•
May 13, 2019
The course is neither for beginner nor for intermediate level students. Course is sort of tutorial where how is well explained, what is some time explained but why is always missing.
автор: KJ B•
Jun 20, 2017
The code is already written, which means there is no opportunity to practice. More over, the examples have no baring on the homework problems. Would not recommend this course.
автор: Jose N N P•
Feb 15, 2018
Lot's of problems with the autograder, lack of teaching staff support to answer questions in a timely manner. Assignments need to be more representative of class lectures.
Sep 07, 2019
Content wise is ok. An easy introduction. The bugs made it annoying. Especially Week 2 final exercise https://nzh13lxjj0.execute-api.us-east-1.amazonaws.com/prod/index/2/
автор: Marcin W•
Jul 02, 2019
It would be a very nice course... if this guy was actually teaching and not explaining the basics and expecting people just to search online of the remaining 90%
автор: Deleted A•
Jun 13, 2018
Too fast and need to break the content even smaller with frequent practise assignment and graded quiz, just make it like python for everybody specialization
автор: Dario M•
Jun 19, 2019
I didn’t like how the subjects are explained, and i feel the grading system is not good at all. It would be better if assignments were graded by peers.
автор: Krishna P K•
Sep 11, 2017
The course rushes through a lot of concepts and expects the learner to figure out real insights using public resources. The reference material is poor.
автор: Shikhar S•
Jun 02, 2019
The content of teaching in videos is a way too less than the level of asssignments .I had to make a lot of efforts on my own to understand the things.
автор: Josep R•
Apr 17, 2018
The ways is taught is not very good - basically a lot info in short timespan. I don't think the Jupyter Notebooks format is the adequate for teaching.
автор: Manuel M•
Feb 26, 2018
For some reason the format in which the lectures are organized lack a lot of tact and seem to be made with no pedagogic consideration whatsoever.
автор: Clement G•
Sep 17, 2017
Explanations of python were pretty coarse, the video was not helping much. I feel like I spent time doing 99% of python and 1% of data science.
автор: Emil K•
Jan 05, 2017
Many bugs, lecture content does not cover topics required to complete the assignments, assignment instructions are not written in a clear way.
автор: KAMAL G•
Oct 07, 2018
The speaker speaks too fast for any useful "sharing". One need to do reverse engineering to understand the code and underlying concept.
автор: Adam R•
Aug 20, 2018
Videos not very explanatory, ended up being a lot of self-teaching, video seemed too scripted and didn't really explain concepts well
автор: Chenfeng L•
Nov 14, 2016
Good course materials and the assignment itself is pretty good, but the grader is buggy, not informative and wasted a lot of my time.