28 сент. 2021 г.
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.
9 мая 2020 г.
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
автор: Andrea K•
22 мар. 2021 г.
Most of the topics are not really explained but just read out. Actual learning has to be done by reading and searching the web. The assignments are unclear and the whole course takes much longer than the given time. The best thing about this course is the teaching staff that gives fast and individual help when you run into problems (which is often)
автор: Oscar F R P•
26 июля 2020 г.
The autograder works with a pandas version thats very old so you must learn how to code in pandas 0.8 while most PCs now hace Pandas 1.5. It also is too picky and shows little information about the errors, you'll need to dig up infromation from 3-4 years worth of forum entries.
THE COURSE IS INTERESTING BUT ITS BLOODY ANNOYING AND FRUSTRATING!
автор: Fouad S•
10 дек. 2017 г.
For an Introduction class, this is way too advanced. the course material are minimal. while this might be for a targeted audience, its fine to keep the videos at this length, but at least add some further readings/videos from other sources. Providing a bit more structured learning is way better than leaving students lost at assignments.
автор: Neha P•
5 февр. 2022 г.
While I did learn some new things in this course, the material / pacing and especially the assignments were organized very poorly. Instead I would recommend just going through Wes Kinney's book (which is referenced in the course as reading material), for better explanations / better examples, and a much better understanding of concepts.
автор: Myles A S•
9 авг. 2020 г.
I found this course heavy going. There were no notes and I could not afford the recommended textbooks. I found myself having to search for information in the videos in order to complete quizzes and assignments. I passed the course, but have opted to do the IBM Professional Certificate instead of continuing with the specialisation.
автор: Samuel B•
21 окт. 2019 г.
The material is fine. However, the reason I rate it so low is that there are no practice problem that it walks you through. It gives you assignments and expects you to go and solve. I know how to search for random questions with Stack Overflow already. I was looking for a detailed course on how to do it; not just talk about it.
автор: Baptiste G•
17 мар. 2019 г.
The course and content is by itself ok / good. The time needed for doing the exercise is quite long and the automatic grading is not straightforward.
So i spend a lot of time debugging my code to have functional code to the robot checker and not just to make it work (Very true for Week 3).
Not my favorite mooc i have complete.
автор: Carl H•
6 мая 2021 г.
I got stuck on the first assignment and was unable to get proper help. Very disappointing compared to Dr. Chuck's course. I was looking forward to expanding on Python and Jupyter but when I tried to start over on an assignment....simply could not get there. The autograder setup is almost un understandable.
автор: Hans R•
20 мая 2018 г.
The grader is pretty frustrating for no apparent reason, when checking a data frame have it check for equality row by row and be specific when asking questions. I suggest you make the questions return smaller size answers that can easily be checked. The course itself is OK but as a whole it is not that great.
автор: Vlad P•
14 июля 2017 г.
There's a big mismatch between stuff they teach and what you're required to complete. Skills learned: dealing with annoying and obscure stuff produced by grader and reading forum. Suggestions for authors: simplify and/or write better grading code; review your own instructions by giving clear examples.
автор: Nicholas H•
14 мар. 2017 г.
Doesn't provide resources to complete assignments.
Telling students to "go to Stack Overflow" is a serious red flag.
Independent learning is an incredibly valuable process, but this course felt more like a series of challenge assignments to do once you've learned Pandas on your own from another source.
автор: Marcelo H G•
28 февр. 2020 г.
Too hard. I had to keep reading docs, examples, other works and codes similar to this one. The exercises notebooks are too hard compared to what is barely explained. It is just a guy frozen in front of the camera talking constantly in same voice tone for several minutes, in almost all videos.
автор: Ahmad A•
14 апр. 2020 г.
If you are a beginner in pandas, numpy, do not even think of doing this specialization. You will start hating these beautiful technologies. Only do this if you have good previous knowledge of these technologies or you determine to learn new things from online internet resources.
автор: SHAHAPURKAR S M•
1 мая 2020 г.
Teaching is good, but absolutely no relation between assignments and teaching. Either the lectures should cover more concepts, or the assignments should be made easier. Took me hours together to solve the assignments. Also, questions should me more clear and framed properly.
автор: Colm G•
27 сент. 2018 г.
Lecturer seems unaware that most people are coming across this material for the first time. Goes over things too fast with not enough examples.
Assignments have a lot of questions that are ambiguous and lead to a waste of time trying to figure out what you are being asked.
автор: Alexis E•
14 авг. 2019 г.
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: SANGEET N•
18 мая 2020 г.
Did not feel that I got anything useful from here. The teachers have great knowledge, the assignments are good no doubt. But this I can do easily looking at different materials present on the internet. There is nothing good or extra that I got from buying this coures.
автор: Philip M•
4 сент. 2017 г.
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: Atharva G•
17 июня 2020 г.
When you are here, after learning Python you don't expect from your instructor to tell us that he is importing a library by using an XYZ command but you surely expect from him to tell what that library does. It took so much extra effort to complete the course.
автор: Md. T I B•
10 мая 2020 г.
To be true , it killed all of my intension of exploring this field. The lectures were as short as possible and the assignments are burdened with heavy works.And above all they don't co-relate to each other.I am lucky that i did not go for the specialization.
автор: Alfonso E•
25 мая 2020 г.
You basically need to learn everything by your own if you want to pass the assignments, there is little to none learning from the videos, But at the end if you make all the effort by yourself you will end up with lot of learning in how to use Pandas.
автор: HIMANSHU V•
7 авг. 2019 г.
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: Max G•
28 янв. 2017 г.
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: Pavel B•
12 мар. 2021 г.
Pleasant teacher, nice organized course. But the teacher tells you about 10% information that you face in assignments. Literaly like this: "Ok, fella, I've explained you about 10%, the rest 90% you will find yourself somehow".