The auto-grader in this class SUCKS. It runs an outdated version of Pandas from 2016. Some of the lecture content also includes deprecated functions. The course content and auto-grader both need to be updated to comply with Pandas v1.0.x. It is EXTREMELY frustrating to spend hours getting code to run properly on my machine, only to upload it to the course site and have the auto-grader tell me it's incorrect or unexecutable.

It does not matter if you have intermediate python level of experience. You should not go through the material so fast and not explain properly what the specific code does. I understand that we should seek outside resources if we don't understand something but thats not an excuse for providing fast answers to what a code does and not provide explanations to specific code. All I saw in this introduction was fast typing lol.

The course content, which includes tutorials and assignments, is exception for beginners to hone their skills in python data science stack (numpy, pandas and matplotlib).

However, the automated grading process, I find, is ambiguous. Here's why:

First, we are not provided with a snapshot of expected output.

Second, the feedback doesn't support debugging; as a result, test taker will make clueless trial & error attempts

I agree with some reviews saying that course was mostly limited to self-learning. Videos were rushed and learning mostly limited to self-studying. Assignments descriptions were confusing and not well explained, not to mention that it takes hours to figure out why correct solution is not accepted. I'd say writing code (correctly) takes 4 hours but then you need 8 hours to figure out why your answer is not accepted.

I have previous programming experience, sill I find the course is very challenging for the following reasons:

- course videos are very short (40mins per week), partly related to the required assignments, not covering all topics

- you need to spend most of your time (for me 10-15 hours per week) googling and reading Stackoverflow, and you might pick up a solution which is not appropiate for your current issue

The assignments were tough and they really tested your knowledge of python. That being said, the lectures were absolutely useless. I spent 90% of my time trying to figure out python through stack overflow. The jupyter platform is also very frustrating. For whatever reason, error messages kept coming up as I was trying to complete the assignments. At one point, I lost all my work because of this error.

Lectures aren't helpful. Assignments are challenging which is great but there is a difference between challenging students to make them learn more or to challenge them to such extent without providing enough resources that they go weary of the material. It is important to understand that students take courses generally to learn new material, not to revise what they have already learned or forgotten.

The content is really good, but their explanation of the topics is insanely terse; by both the professor and his graduate student. I had such high hopes for this class. I am personally able to follow the content because I have experience using pandas and only using this class as a easy way to fill gaps in my knowledge, but to the uninitiated their coverage would confuse a otherwise simple tool.

The course is quite tough and is not really beginner friendly to someone who is seeking to start learning about python or data science. It's just that it is on another level. Hard to grasp onto the concepts. The assignments also are very difficult for a beginner. All in all I don't mean to be negative but this really isn't an introduction to data science course, it is on a very advanced level.

This course was highly challenging and took quite a lot of time and efforts to complete! The concepts were hurriedly and not properly taught and I think this need be addressed. The assignments were also too complex for an introductory course and require a lot of personal reading and searching to complete. Would recommend at least a basics in Python programming to register for this course!

I really strugled with the course; especially assignment.

There is a lot of talking and little time is spend on how the code is working. I feel anyone who is already a programmer in another language might be finding it easy follow the chapters.

I was very difficult to complete the assignments - Most of the time it felt totally outside of what has been discussed till then. (Out of syllabus)

This course is too easy for me. But if you are a beginner you will find it difficult.

I download all the materials and try my best to complete all the assignment without watching the final part and submit them at almost the same time cause I find it joyful.

To be honest, read the book entitled Python For Data Analysis 2nd may be a better choice instead of watching these tuition videos.

Very unresponsible professor. No passion at all!!!!! Did not explain the fundamental concept well. As a result, I do not think I have a deep understangin at all. I spend most my time google in order to finish my assignments.

I give him the second star only because I the way he designed those challenging assignments. He should include some skill needed to finish the assignments.

According to me this course will be not good for beginners , i m not telling for who is absolute beginners in programming world but it is also difficult for who just completed the python from scratch and enter into in this course.The instructor was too fast (i know that we can reduced the video speed, so don't suggest that).here i m not able to point out whole thing.

The depth and amount of knowledge delivered in class versus the level of complexity of the assignments, leaves the student with a very high degree of research, which is always good, however, it must have a balance.

I do not agree with leaving most of the learning on the research side, you should keep in mind that students may have little knowledge about the subject.

Very good lectures and examples. Horrible autograder - very stiff and all results must be in a very strict order and format. Extremenly vague questions prone to misinterpretation.

Most of the time is not spent on analysing data or coding but trying to understand the autograder and questions. The stress should be somewhere else. As a whole poorly prepared course.

1. Jupiter notebook constantly loses touch and you have to reload the page, and you have not saved the last changes ...

2. Outdated versions of Panda are used and who knows what else, so if you are not completing the task in their notebook, this can be a problem, as for me.

3. The background with people at video lectures distracts from the lecturer's words

I learned a lot taking this course but it requires a lot of work from the student. The video lectures have little contents and are somewhat superficial and the assignments are somewhat confusing. One must read a lot about the assignments in the forum otherwise it's impossible to complete them. It took me tens of hours of hard work before I learned that.

I think the assignments really help you learn a lot! But there isn't much help or aide at all from the classes. You basically have to learn everything on your own with no help, and the forum is rarely ever useful. So I would not recommend taking this class unless you are already used to using Pandas and are very advanced or intermediate with python.

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!

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.

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.

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.

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.

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.