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學生對 IBM 技能网络 提供的 Python for Data Science, AI & Development 的評價和反饋

27,632 個評分


Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries. This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career. This course can be applied to multiple Specialization or Professional Certificate programs. Completing this course will count towards your learning in any of the following programs: IBM Applied AI Professional Certificate Applied Data Science Specialization IBM Data Science Professional Certificate Upon completion of any of the above programs, in addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your expertise in the field....




it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.



The syllabus of the course takes you in a roller-coaster ride.

From basic level to advance level and you won't feel any trouble nor hesitate a bit.

It's easy, it's vast, and it's really usefull.


176 - Python for Data Science, AI & Development 的 200 個評論(共 4,715 個)

創建者 Steven S


The final assignment needs some editing. The instructions were vague and grammar needs some work.

創建者 pooja s


Python basics are taught well but at the end sessions got too hard all of a sudden.

創建者 Mariana N


Gives insight into the language of Python, but not much application practice.

創建者 Anushil G


well structured courses and assignments the quizzes could be more challenging



Peer to Peer assignment was confusing and misleading.

創建者 Sharath S


Explanations too cumbersome around APIs

創建者 Vikash R


This course was of intermediate level.

創建者 jbrandt


This section is an intro to python basically and it trys to cover a lot of ground with very short videos. And as you can guess it's not great for conveying more complex aspect to python or data analysis with pandas.

I have taken multiple python tutorials/courses along with data science for python and sql course. I have to say that it wasn't worth it for me on this course, but it might be useful if you are a complete beginner or taken a course or two and need the refresher.

However, given how complex python and pandas/other packages can get, this water down version is just what you would expect from a course trying to teach bare minium to get you up and running. I suspect the next few course sections that also deal with python will help supplement/reinforce what you learned in this section so I gave the course a 3/5 rating.

創建者 Camila C


It starts easy but finishes ver complex. A beginner can follow easier in the first part but will have a lot of trouble in the end because it get vey complex. I had a hard time but it's not difficult to complete the course, however, for person that doesn't know programming, the course finishes with the person not knowing how to use properly half of the content. Besides, the labs are not so intuitive as the exercises have a huge gap of difficulty. The videos are short and don't have a clear explanation, they leave the explanation for the labs that have the same text from the videos. The labs are a little confusing and the hard coding is just showed to you with no explanation, you just accept it.

創建者 Ryan W


I found the premise of this course effective and the introduction to python and everything it encompasses was great. However, the section on numpy the labs didn't work, it wasn't explained why numpy is so useful in terms of matrix multiplications (am sure we will find out but even just a quick blurb / insight to link understanding), there were no case studies in the latter half which made it just information dumping. And the final section on API also didn't clearly explain why they were so useful. There was a lot that this course could have done - fingers crossed the content improves in terms of explaining larger picture too.

創建者 Darina K


T​he first 2 weeks were good. Challenging but exciting at the same time (although the quizzes were really easy compared to the actual material). But. from week 3, the course just doubled in speed and, by week 5, I couldn't keep up with all the new things they were introducing. In the end it was hard to feel like I learned enough. I had grasped the content from week 1 and 2, but from week 3 many important topics are not explained deeply enough for a beginner to understand. If you're already knowleadgeable then take this course . don't know if I'd recommend it to another complete beginner like me though.

創建者 Jess M


A lot of passive exposure to basic structures of Python , but desperately needs more practice examples and more explicit exercises using code. The instructions for the final activity make a leap several steps past what is presented in the videos and asks that you figure out how to do multiple steps of code without any actual practice coding prior to that. Says its for beginners, but does not teach for beginners. Coursera needs something between Python for Everybody, which is super slow, and something like this, that assumes you intuitively get it.

創建者 Luis D R S


Although I think the material is really good, I think the content of the quizzes in the videos and the quizzes in Coursera does not prepare you enough for the Lab works in the course. Those quizzes seem too simplistic and then the jump in difficulty in the labs can be frustrating for many. I suggest that the quizzes provide a little more comprehensive detail in a way that tests your understanding but also guides you to doing better jobs at the labs

創建者 Vimal O


On overall IBM data science professional certificate track: P​ros: Content is just good enough, instructors are good. Cons: IBM watson and the platform given to practise on is awful and has terrible performance and reliability issues, most often doesnt work and had an impact on my test deliverables. I personally overcame those issues to some extent with kaggle's and google colab jupyter notebook environments.

創建者 Maria P


Weeks one to four are good. Week 5 is full of mistakes. You lose a lot of time for correcting stuff instead of actually learning them. The assignment takes double time just because of the corrections in the given instructions. The data that you have to load in order to complete the assignment are in the wrong address! More examples and coding should be included in week 5.

創建者 Saubhagya S


It was said that the course will cover python from the basics. Yes basics were covered but they just flew through the basics without giving much in depth knowledge about it. Did not understand the basics much. python is an important language for data science and before we go on to the hard part we must clear the basics to build a strong base.

創建者 Rebecca L


The course has so much content that is not well-organized, especially for newbies. I hope the lecturer can prepare better for the coding part and get more useful practice for us. Also, please just upload the jupyter file for us to download. That is a much more comfortable way to learn on our own devices.

創建者 Carl-Michael E


This course wasn't bad exactly. The videos are very good, but the tutorials are a waste of time. One doesn't practice any of the skills learnt so it isn't reinforced.

It would be FAR more effective to have it as a semi-interactive course, where you learn something, then apply it immediately.

創建者 Sivachandra V


The assignment is so bad that I had to waste at least 1 hour of time just to figure out why the picture was not changing despite me saving it correctly. I restarted the machine after an hour of research and then it got resolved. THe notebook also behaves weird.

創建者 Kirran R M R


Course is not very well structured.

Using IBM cloud and Watson is a waste does not pertain to this course

You learn very little and its half baked.

Last week seems so rushed feels like a cut and paste. Missing a lot of details

Would not recommend this course

創建者 Olivia V


Content is very uneven. Courses range from way too shallow to way too complicated, mistakes in the labs, quizzes questions about subjects that are part of the next chapter... A bit surprising coming from IBM.

創建者 Brett O


Feel like this is beyond an intro course. A little disappointed, but some material was very helpful in learning about Python, but still thought it was at least a mid-level course.

創建者 Juan F


The first part of the course is useful and well explained, the last one does not explain enough the contents and, although you will easily pass it, you will not learn much.

創建者 Matthew D


The tutorial videos don't go as much into detail, I think you should watch/read some additional tutorials and materials to deepen your understanding

創建者 Nathan D C


While I enjoyed the labs, the videos do not explain the concepts well. They assume you know certain aspects of python, such as syntax and structure.