Отзывы учащихся о курсе Introduction to Data Science in Python от партнера Мичиганский университет

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.

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.

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.

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.

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.

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...

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.

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.

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.

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.

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.

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.

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.

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".

The topic explanations and videos are very simple compared to the level of difficulty of the assignments. Also, assignments are ambiguous, it takes a lot of time and forum visits to completely understand what is being asked.

Hi,

What they teach and what they give as assignments have a huge gap in knowledge level. Hopefully they revise the transcript and teaching material. Finished this course, but had to take a lot of help from other sources.

Course will just give you an overview of basics.

This course will just make you familiar with some terminologies, assignments are good but lectures are not sufficient to solve them. lectures will just show you direction.

I realize Python is prerequisite, but there is very little Python instruction. At a minimum, it would have been very helpful if the professors explained the syntax of the python examples that are shown during lectures.

It was a difficult course. I had to learn all the stuff by myself. I request Coursera and University of Michigan to please elaborate the things taught in the class. It has been very difficult for first timers like us.

The teaching way of the course teacher is not very much understandable. Most of the time I had to watch YouTube videos to understand the functions. The 2 stars I'm giving, is for the materials covered in this course.

I really think this course is not organized in this way. It should be a little organized. The overall concepts are not clear either. This course is not so good as an introductory course in data science.

I was considering taking the other data science courses offered in this series but was not happy with the way this course was prepared. I completed the course but would not recommend it for beginners.

The lecture is so compact that does not tell us all the needed details. The assignments are just too much work, and we are expected to find everything by ourselves... Not recommended to newbies.

They barely touche over the material in the lectures, the assignments are mostly a waste of time and unrelated to the topic thought in the lectures.

This would be a good course if it was free.