The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans
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 .
By Jacob J•
The course and the assignments were great. Everything was fine until the auto-grader. Even after running a function and testing it on Coursera's jupyter lab, auto-grader kept throwing an exception. Please fix rectify this issue.
By Maia H•
I finished the first two courses before taking this one but it is a blast and a big leap forward for me. Couldn't even work on the week 1 materials well. I think I will take more intro level courses before diving into this one.
By Aashith G•
I think the modules pick up a sudden pace in Week 2. The title should be changed to "Intermediate Data Science in Python" or similar :)
Alternatively, maybe this course could have a Python basics intro course as a prerequisite.
By XiangRui L•
The assignments given were too difficult. Students have to spend a lot of time doing self-study and using stackoverflow. Providing basic practices for students would be much more helpful for them to tackle difficult questions.
By shahzaib v•
assignments are tough and guidance is needed for them. Googling for problems takes time So , sometimes i became frustrated and shutdown my pc. Assignments are good but you need to give some hints and proper problem defenition
By Vladimir I•
A good introductory course to Python.
1) The brand-new coursera jupyter notebooks are great.
2) The in-video quizzes are sometimes harder than assignments.
3) Showing two guys in the background of every video was unnecessary.
By Matthew B•
This class presents some good information, but completing the assignments takes a lot of research on your own. I would've rated this class higher if the course material provided everything needed to finish the assignments.
By Ankit M•
The overall course is okay.
The material is good, but lectures are up to the mark.
Assignments difficulty level is good and challenging, but the questions are not very clear.
Overall a good hand on experience on problems.
By Shakshi S•
The course is very informative ,you will get many new things to learn but the course assignments are not easy at all apart from the first week quiz which was easy and if you have good python background then go for it.
By ANAND S•
This is a pretty tuff course and the explanations and teachings are not up to the mark while assignments are good. To complete the course you have to take the help of youtube and web to fully understand the concept.
By Bonny B•
The course is somewhat a little harder as expected...basic knowledge in python and some statistics are a pre requisite.the lecture is not as inspirational but i found the course interesting for the topic was good.
By Marco V N•
Sometimes the question are clear due to the lack of clear definitions. The assignments could be done much faster if one did not have to research the entire forum. Moreover, the autograder can be really frustrating.
By James S•
Fairly fast paced. if you have just completed the Python for everybody course, you will need to do a lot of your own googling to be able to keep up with this course.
Additionally, the assignments need a little work.
By Sourabh N P•
worst course to start with. pissing me off at every video. not a single descriptive video. I will give 0 stars if possible. Also while submitting the assignment, there is only a single way of accepting output .
By Rakshith R P•
Probably, the course can be more detailed with examples of different inbuilt functions. However, Liked the content of the course. Very helpful for people who wants to start on learning about numpys and pands.
By Abhishek K•
The assignments are pretty brain storming.If you want to practice some wrangling with data I would recommend it,but you must have some basic python knowledge along with some skills using pandas and numpy.
By Chad H•
Issues with the unforgiving autograder require spending hours (unnecessarily) reading discussion forum for precise matching of string formatting. This type of issue destroys the momentum of the course.
By Moustafa A M•
I think we need to have more interactions into the lectures, also the material inside the course is not enough most of the course i do it searching and copy and paste the code from the online materials
By Leandro F C D•
The instructors did not explain functions well enough, is like they were always in hurry to finish and go to the next lecture. I end up reviewing a lot of internet materials to finish the assessments.
By Marty D•
Lectures spend a lot of time on watching a person talk to a camera. Projects are pretty good, though auto-grader is a pain to debug. TA & Moderators are excellent and so is community taking course.
By Caroline M•
Good overall and I liked the instructor. However the assignments are extremely difficult, especially Week 4 and there are not a lot of online resources made available. Definitely not for a beginner!
By murray d•
Really a struggle to navigate around the discussion forums. The autograder is also a huge challenge. If you can make the actual tests that it runs available up-front would save a lot of time.
By Yiyi C•
The course schedule is tight. I feel like a little bit hard for non-cs major learners. The good thing is you could still upload your homework even after the deadline before the last day of course.
By Jae H H•
The course offers very little guidance. Nevertheless, I learned a lot but it's really not that well structured. The course also makes you do homework on something that is not covered in the class.
By wei l•
i like the course content. but the assignments need improvement as i wasted lot of time due to unclear instructions. also if the professor can compile more content into slides that will be great.