The course is good, the contents and the difficulty are fine. As negative points I can say that the tests were blocked (I paid to have the certificate) and I could not finish the course before, even having time to do so I had to wait. Very little or almost no support from both Coursera and the Staff of Teachers in the Forum. No one answered the requests to be able to advance in the course.

The first 3.5 weeks go over basic programming skills like what variables are, conditionals, loops. The last week and half go over briefly using Python in a data science setting, which is just using pandas and numpy. The title of this class is misleading. I figured we'd start doing Python coding from the beginning. Most of the code is already done for you. Disappointing.

I felt like comparing to other courses in 'IBM Data Analyst Professional Certificate' series this one felt short in terms of quality. Quiz questions were blatantly copied from videos, the pace of the course was very quick and hardly comfortable for someone just starting out in Python, and there were hardly any truly practical information besides the very basics of Python.

The course was not designed and taught properly. Although python language is very interesting, but this course presented it in a very boring way. I couldn't understand the bigger picture in this course and its relevance to AI. Practice assignments were not enough. Compared to other IBM courses in this certification, this course was definitely not of the standard.

Für Anfänger ist der Kurs zum Teil schwer zu verstehen. Es wird nicht einmal erklärt, dass die Einrückungen bedeutsam sind.

In den Videos wird nicht klar unterschieden, was ist Programmcode, was ist die Ausgabe. Variablen heißen ähnlich wie die definierten Objekte, so das es nicht immer eindeutig erkennbar ist. Beispiele sind oft nicht einfach nachzuvollziehen.

I feel overwhelmed by the amount of information presented in the course and frustrated that you don't really get to practice what you learn. Most of the labs (if they load) already have the code entered and you just run it. You can play with it if you want, but I don't feel like I really retained all the coding and syntax that was presented.

There are simpler ways to present information. The narrative was extremely fast paced. I found myself having to slow the narration down quite a bit. The course was not for me and I will seek to learn Python through a different means. I do appreciate the limitless opportunities to test and run your code, which is why I gave two stars.

Course is full of typos, random words in random places and other kinds of errors. I wish the instructors would at least once go through the course to see what a mess it is. I really am grateful but this course was a constant headache. Not because it was difficult but because of all the mistakes. Thanks and please fix it !

Weeks three and four need a major overhaul in their examples and exercises. The examples themselves are not translatable to what the student is expected to do in the exercises. For example, at one point the module teaches you how to create circles and rectangles. When you get into the exercise, it is building a database.

I am disappointed with this course and especially with the APIs part and the use of IBM Watson Studio. It is very poorly explained, we talk about predicting house prices and then we work on US economy. It deserves to be reworked. I wasted a lot of time figuring out what is required and not getting started with python

Son demasiados los errores. Especialmente en las etapas de evaluación, la traducción automática hace desastres y a veces es difícil identificar la respuesta correcta o incluso entender la pregunta. En el módulo de webscraping incluso hay errores en el código. Por otra parte, no hay siquiera menciones a IA.

The course is too easy, there are not enough examples for self-practicing. The examples should demand enough effort to get rid of people who are just "certificate collectors". After all, the value of the certificate will be almost zero, anyone how just wants and has money to pay the fee is able to get it.

Cours intéressant mais pas très concret dans son approche. Evaluation très décevante ne permettant pas de mettre en oeuvre le langage mais encore une fois tournée vers une publicité déguisée pour IBM. Le fait que l'entreprise soit à l'origine du cours ne devrait pas impacter la pertinence de son contenu.

unclear structure, jumping between weeks and modules, for example course went back to process different types of data mainly using pandas after API and scrapping sessions. Even for me as who already has experience with python, it's a bit confusing to understand why the course is organized in such a way.

I still have my paid period access till 31.3.2024 (included) but when I want to have a a look at any hand on lab again I am getting internal server error after clicking 'launch app' for all of them - the message with the dog...so I paid for having 1 month access but that's not what I got...disappointed

This course does a poor job at giving someone a foundation in Python programming. Furthermore, there are a number of mistakes in the lab giving one the sense of very little care being put into the course creation. The quizzes are such low difficulty that one wonders what the aims are in its design.

I feel like there are a lot of holes in my understanding of Pyton, to the point where I am going to take an additional course on Python. I am a little disappointed because this course was advertised as "everything I will need to know for data analytics", and based on this Python course, it is not.

While I did learn some useful things from this course, the videos go way too deep in a short space of time. There is a lot of code snippets on the videos and in Jupyter where there is no explanation what it actually does. There are modules imported in Jupyter with no explanation what they are for.

It jumps to some slightly more advanced code without enough explanation or breakdown to explain how to use it for other things. A ton of stuff in the labs does not work when trying it out for yourself. Seems a little packed with information that should be expanded upon over the several more weeks.

This is too fast and not detailed enough for someone who is new with Python. Also, always trying to plug IBM Watson studio, which is slow and sometimes requires multiple attempts to de-bug. Why wont you let us use local jupyter notebook? There are definitely better python courses on this site

The contents of the videos and the labs don't match. The lab sessions include topics not covered in the videos. Also, not enough exercises to practice. I found weeks 3, 4 and 5 are so advanced compared to weeks 1 and 2. There should be an intermediate level and definitely more exercises.

tools for the cource are not working anymore. for example at week 1 hands-on lab does not open and return the following error:

Service Unavailable - Zero size object

The server is temporarily unable to service your request. Please try again later.

Reference #15.9dba1002.1640601352.678ad23a

The videos are very rushed and don't cover the concepts in sufficient detail. It would be beneficial if real world examples and analogies were used to help explain concepts. I had to supplement the materials provided in the course with information from other websites such as youtube.

Good course but needs a major review. Some things are wrong, others not very precise and vague. Video lessons are often a bit sloppy (misaligned graphics, questions come seconds before the answer was given and the like). Overall feels a bit unprofessional and could use some polish...

Much of the content is quite sloppy, with many errors and poor organization. I was able to complete the course without issue because I am already familiar with the material, but I can see others struggling and not getting much out of the course if the information is new to them.