May 10, 2020
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
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 .
By Marco V N•
Apr 18, 2019
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•
Oct 23, 2017
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•
Aug 13, 2020
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•
Jun 29, 2017
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•
Feb 21, 2018
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•
Aug 12, 2019
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•
Sep 03, 2017
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•
May 17, 2020
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•
Oct 17, 2019
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•
Oct 29, 2017
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•
Apr 21, 2020
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•
Jun 23, 2018
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•
Apr 03, 2018
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•
May 11, 2018
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•
Sep 25, 2017
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
By Alexander K•
Jan 17, 2017
Skills acquired when finishing this first course are very useful and applicable. However, lectures and assignments are almost unrelated. This course is nothing for people who are new to python.
By Ruban S•
Apr 07, 2019
The coursework validation could use some work to be more concise with error messages but it's OK as long as you work with it.
Content is good and seems to give a decent coverage to the basics.
By Mark E•
Mar 15, 2017
This course relies almost exclusively on self learning of the details of pandas. It would be greatly improved by examples of how to use pandas to solve problems similar to the assignments.
By Kevin d V•
Dec 06, 2017
I learned a lot. But be aware that programming skills are a requirement for this course and that you will have to research the web (stackoverflow, pandas documentation) on your own a lot.
By Sebastian R•
Dec 03, 2019
Good course i.g! But it is quite annoying, that the auto grader (python 3.5 ?) does not behave like the online coursera notebook (python 3.6.2), which leads to errors at the evaluation.
By M J•
Dec 21, 2017
Course material is good, covers the right topics to get started with python and pandas. Assignments and especially the grading process require a bit more patience than I was expecting.
By Kalle A•
Jan 03, 2018
I enjoyed the course, but I think the exercises could be improved a bit. Especially in the last two ones could have better explanations and examples of what's expected from the answer.
By wilfried l•
Dec 27, 2019
You will learn a lot, by yourself to solve the assignment.
Which could be see as a good way to learn
Time to do each assignment is clearly under estimated. You can multiply by 2 easily
By Juan C M•
Jul 04, 2020
Too much self-learning taking into account that this is supposed to be a course, could make example projects for better understanding instead of jumping right away to the assignment.
By Itzhak K•
Nov 05, 2019
The course was fine, but the last assignment was too hard for me. And I think that for Introduction to data science - the first course in the series it shouldn't be so complicated.