The content of the course is adequate to python users with a beginner-intermediate level, but lectures are fast-paced and do not seem to be focused on the student. Instructors just comment functions and methods characteristics as if they were reading it from Pandas documentation. Before this course I did not have any Python knowledge apart from the specialization programme Python for Everybody from the University of Michigan, which was much more oriented to beginner students. I recommend some more experience to take this course.

This course is heavily dependent on your ability to google methods and techniques because the lectures do not come close to preparing you for the assignments. The videos simply show you what happens when you type certain code into the interpreter and do not go into detail of how it works because they figure stackoverflow already does it. This is probably a course more for someone who already knows the material and needs a refresher vs someone who is trying to learn it all for the first time. Good luck

Lecturer just regurgitates code out loud (completely worthless). You can't get answers back without paying for the course (fine but it would have been nice to mention that up front in the audit) so you get little feedback as you might want it.

Many of the questions/code is impossible using only the python described in the course. I wanted to take this as a python refresher and it was a complete waste of time. The subject matter is perfect! But execution is abysmal.

The background for the lectures was really distracting. You shouldn't have people in the background ever.

The lectures didn't provide the information needed to solve the assignments and the answers aren't given after the assignment is due. So the course doesn't really teach much by itself. You need to do a lot of extra googling on top of the lectures. In that case, you may as well do your own projects for free rather than $40/mo for inadequate lectures.

I find it outrageous that in Week 4 instead of practicing python and statistics I have to spend a lot of time learning very US and sport-specific information which is absolutely useless and I am never going to need it. The same is valid I believe for the rest of the world. The coursera platform was not intended exclusively for US and Canada students? Or for people who do not have full-time jobs and a family in addition to the need to learn python?

Unfortunately, I won't complete the specialization because of this course and I will look for the content elsewhere, because of the following reasons:

1- The videos are not informative and short

2- Assignments only use like 10 to 15% only of the given info from the video

3- No slides, hints or tricks are given to help you in the assignment

4- The lecturer needs real life examples and visualization aid to support his teaching method

No or least support.

Course Quality is great but problems with grader will left you with wasting your expensive time.

Assignments are good but intend to go wayyy more beyond the scope and to learn from online materials though other sites.

Grading system is not easy. You have the right answer but you'll need to waist hours to produce specific string for your grader to be satisfied.

This i not an elegant learning process at all.

Horrible course. The instructor is reading the course from a prompter. '95% of the time, you see the instructor reading from the prompter, and two people working in the background. When they actually show the code the instructor is talking about, it goes so fast that it's impossible to read the screen. The instructor provides no motivation or background to what he says. He just rattles off the words in a uni

Instructor gives minimal examples and says "go look on stack overflow". Then he proceeds to assign problems that don't really cover what the slides, lectures, or examples were on. If I all I was trying to do was just read some docs and look on stack overflow I wouldn't need to take this course now would I?

Poorly translated and cryptic instructions for assembling furniture are better than what you get here.

The assignment is much more harder than what I learnt through these videos. I know the professor want us to learn more by searching on Google, but it really took me a lot of time to find the answer for every assignment! I attend this course only because I want to learn Python easier than self-learning, but this course make it become much harder for me and I even think of not futher my study in this area.

I am an engineer and I use matlab and stata for data analysis and currently taking Machine Learning course by Stanford which is fabulous. I did not like this course for the following reasons:

1- bad course design structure

2- so confusing and inappropriate sequence

3- super fast without providing any intuition

4- no fundamental explanation

5- course could be longer and spend enough time in each subject

Whilst the course material was great, the actual program is very poorly managed. The assignments and lecture notes are not kept up-to-date meaning you must waste hours in the forums trying to figure out why your assignments are not being graded correctly or why your code is outdated.

Not impressed, would definitely not recommend. I ended up having to just teach the material to myself

This course is no good.

Unable to run the assignments at my comfort. Half the time there is some issue in submitting the code in jupyter and with hard pressed timelines at work this does not take me anywhere. As a data scientist with little programming background, it is difficult to enable our journey with this course.

Sorry to say. This is a big disappointment for me.

This is not a course. The videos and resources provided do not provide sufficient insight to properly learning Data Science or even getting through the assignments. Content and assignments have rarely anything in common. I would have to spend more than 12 hours to solve one of the assignments. Do not recommend, you are better off leaning out of google.

The descriptions of assignments (especially 4) are not very clear. It wastes our time searching what's wrong (you can see the same question is raised up through the years in discussion forum), which always is just because the formatting issue that is not explicitly stated or different interpretations. The assignments should be extensively updated.

Not really an introduction course. The lectures are moving very fast, without really explaining the material. The assignments are much more complicated than the material learned during the lecture. Almost not related at all. I had to learn everything from google. Not for beginners!!! This course will take all your free time and will to live...

Waste of time. If you know python, you'll probably learn nothing new here. If you don't, the professor goes into WAY too high a level, and quickly, for you to actually learn anything. Moreover, he barely touches on why any of this is important, does not go over scikitlearn or numpy, both very important in data science / machine learning.

The courses/videos do not cover most of the topics which are needed for assignments. Have to Google or read lot materials in order to pass. Furthermore the videos are extremely boring as well. This course is not main for the learners who just started to learn Python, as this will demotivated the passion of a person to learn Python.

1. Very difficult to follow and I had to redo this course multiple times to understand the concepts.

2. Feels like the tutor is just reading off a screen and not explaining a topic from his standpoint.

3. The assignments and course topics are disjointed at times.

4. Examples provided are rather complex and needs to be simplified.

Un curso poco práctico, los vídeos son demasiado largos, dando vueltas sobre los mismos conceptos básicos y los ejercicios son bastante complicados en relación al temario (se espera que se busque por internet en páginas como Stack Overflow). No se trata nada de algoritmos, es casi todo limpieza de datos y cambios de formatos.

The pace is too fast! I can not keep up with the course content :(

I had studied "Python for everybody" specialization and "Python3 programming" specialization before. I thought I am now ready for this course but ....

I am going to study some introductory books or find other tutorials first and then come back to this course.

The videos are extremely short and do not feel as if they have the assignment in mind, the lectures do not teach you much compared to what you teach yourself trying to get through an assignment. The majority of time completing this course is spent reading through documentation and other external resources on your own.

A large disconnect between material and assignments. Video lectures not very good and much to short. Assignments had a lot of very annoying data cleaning etc as opposed to better understanding of data frames and pandas, while this is indubitably important in real data analysis it seemed a bit early to bring it in.

Week 4 assignment was the reason I didn't finish this course, even though I am actually a data scientist already. The task was too much focused on manual curation and googling of irrelevant information (sports teams). I'm not from the US and found this task ridiculously boring, irrelevant and frustrating.

Teaching material is poorly organized, and more of information covered in the assignment are not covered in the teaching material. It truly "self study" course. Just skip the video and dive into google. Even assignment question need lot clarification as well. Auto grading is a nightmare.