From zero knowledge to a good knowledge on Python.

Some explanations were not so understandable and there were mistakes in some examples of the explanations

The videos are quick, had to keep rewinding to grasp at the details. A slower pace would help beginners.

I wanna be completely honest with this course:

To me prerequisites:

I'm a coding beginner. Had some classes in University about programming with C and Java but just learned basic concepts like what are functions.

The course first gave me some really interesting insights. The Videos are super helpful and also the first two weeks of exercises were really helpful.

But as I moved further, the exercises got super hard. At least for coding beginners. Personally from week 3 on it just felt like that they don'T really wanna teach you coding but just showing you how it's done. For example they show you how you can Webscrape or convert dictonairies to lists but you can't really code them by yourself. The most frequend command I executed was running the code already in the cells.

When you are a beginner: Try to learn python with another course or source. You will get super frustrated with this course. If you are familar with other langauges or python it will be easy I think.

The course was informative with useful elements to use

However the final assignment had nothing to do with the whole course. the labs were just touching on the code and I expected the final assignment to put everything into practice. The instructions also not clear in the assignment - I got more help off the discussion forums else I would have never completed the final tasks

I am a beginner in Python. This course covered a lot and I understand a lot more now. However, there were always steps and explanations missing. The labs were basically clear until some of the practice exercises which required a lot of things that were not included in the course. The labs in general, however, were very useful.

As many people wrote, there were so many mistakes in spelling and sometimes even in the code. Shame on IBM for not having someone proofread! Furthermore, this robotic woman never stops and never intonates when something changes on the slides. Presentations were so poor. Were they given to a student as homework to create? I don't have anything against Indians, but did the course really need to be outsourced to India to be created? I am sure that if IBM had run this course with its employees as a trial group, it never would have been released as it is. I'm sure that IBM would not offer this course to its employees. In any case, I am happy that I went through it, but am looking for other courses/resources to actually understand Python.

This class taught me almost nothing without even the professor taking part in any of the videos. How am I supposed to know if the professor actually cares about teaching this course that he didn't even do the videos about? There were obvious errors throughout that I know are true because I have years of computer science & programming experience. I got nothing out of this course until Week 4 when it had an interesting take on open(, pandas & NumPy. The last 2 Weeks are good enough for me to go back over to make it so I can get the most out of the money the company I work for paid for this course. Hopefully what I learn in the last 2 week segments will make it so I will actually learn pieces that I will not just learn better from some textbook or searching the web to go to places like GeeksforGeeks.

My apologies for the negativity, but I just want everyone to know, if you have computer science or Python experience, it's probably best spending time on a textbook that is well used throughout different universities or areas.

It's not like the course isn't possible to get something out of, I'm just expressing my opinion of what I got from it. If you really want to spend money on a course that has a teacher that doesn't care enough to make the videos him or herself in the course...I wouldn't recommend it, just because of the caring aspect. Once again my opinion, take it as you will.

Extremely simple and fundamental, obviously aimed at people who know practically nothing about programming. The problem is that the best way to learn to program is by programming, which is not encouraged here. Analogy: Here they teach you the theory of how to swim but they only let you enter the pool for 5 minutes. Not recommended for truly learning to code (2 STARs) EDIT: 1 STAR Many typos and math errors. Unforgivable

Super fast and the examples don't help for the final lab. The final lab is extremely difficult and there is almost no support or guidance to help you with it. Waste of time. I could have paid for a better python course.

The final assignment was not well explained, was hard to follow and the previous material in class was not intuitive to the task.

yeah , slightly the worst teaching skills

I had done other Python introductory courses and this one was excellent, if not the best, very clear and well organized, a pity that the final assignment is somewhat chaotic, too easy and outdated. They should take care of the final works as a way to give additional value to the work we do when studying it.

To start thank from heart to offer me the financial aid to learn and complete this course...

I so happy about ... this start to give hope to me about my data science journey...

I fully enjoy this course... It seem like my dream is coming true...

Once again THANKS

This is a good course overall, especially if you have some previous programming experience such as R because Python has quite similar logic. Videos are good but labs are clearly the most beneficial. Additional materials are also good. Thanks, IBM and Coursera!

It's been a very exciting journey and last project was just awesome... It's gives me real world problem. Videos are short and a lot informations provided in that. can't wait for the next course.....

It was ultimately a helpful course, but had typos, errors, and grammatical mistakes. The exercises were helpful, but it seemed each one was created by a different person, and the quality varied considerably. I ended up using ChatGPT frequently to clarify things further. Helpful, but could use some polishing.

Good course for beginners but not very detailed

Content OK, some errors on the video slides.

I had some programming knowledge (C++, matlab) when I begun this course. It was easy to complete but I tried to make it more challenging by paying extra attention to the details. The questions that popped up while watching the videos were good at making it somewhat interactive. The quizzes were maybe too easy (most of them had only three questions per quiz). I found the labs very helpful, could use some more practice exercises. It felt like a self-paced course, I would like it if the instructors were more involved in the forums and the grading. Basically, the questions at the forums were answered by fellow students (if someone could help) and also the grading was exclusively by peer-grading. All in all you can gain from the course by putting some personal effort..it also makes it easy to just browse through the questions and get a completed mark nonetheless.

There were a few things I really struggled with on this course. Firstly I am a reader, not so good with the videos. So it would have been much easier for me to follow if there were clearer reference material rather than mainly videos. I learnt nearly exclusively off the pynb, but I noticed quite a few of the questions specifically asked about the videos. Secondly, more explanations as to why we are doing something, maybe make it more task oriented. i.e., We are looking for this, this is how you would go about finding it, etc. I didn't understand most of the time why I was performing a task or why this was shown to me. Lastly, it would have been much easier to follow if it would explain what every step, code, function etc was explained. I really struggled with week 5 because I could not understand what each step was meant to produce.

The illustrations were excellent, the pauses for quizzes were abrupt and disturbing, the Fake album cover was not relevant to any business use I would have, and the materials were out of order in the listing. I eventually and painfully figured out a solution using a function I created from the clues I had at hand.

The 2D NumPy quiz was a mystery to me. Too much material was presented all at once and I probably confused some concepts in 2D. I have never used matrix math before...

Not the best course imo: almost no relevant exercises, there are visible small mistakes and formatting errors present. It seems, that authors didn't put too much effort to make the course to be of really high standard. It's good if you need to get a certificate in this field quickly but don't expect to obtain much of knowledge.

Modules 1, 2, and 3 are amazingly good. Module 4 begins to touch on some aspects, but not enough. Module 5 throws everything at the wall and leaves it to you to make sense of it. Constant grammatical and syntax errors. Some labs had incorrect exercises. Some quizzes had incorrect multiple choice options.

It might give you all the things that you need for programming in AI and data science but dosent give enough practice to make you feel comfortable with what they teach. They could give few assignments to better the course instead of rushing which overloads the information to be understood and remembered