This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.
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
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 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 Jonathan A S M•
It is a good course but I would like to have the chance to test my script as soon as I am writing it, I need to have another script open in order to check if I am obtaining the solution that you are expecting.
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 Amit S•
Way too tough for beginners or even intermediates lectures are very long which makes them boring and the assignments and quizzes are way too tough.Hope to see betteer course and much easier assignments
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 Fede C•
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.
By Nidhin J T•
It’s very fast paced. Personally I would prefer to spend more time on each topic particularly since it deals with the basics of data science and is very important to understand each topic clearly