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Learner Reviews & Feedback for Python for Data Science, AI & Development by IBM Skills Network

27,632 ratings

About the Course

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....

Top reviews


Nov 17, 2019

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.


May 16, 2020

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.

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4076 - 4100 of 4,712 Reviews for Python for Data Science, AI & Development

By Scott P

Apr 9, 2021

I don't think the hands on labs really helped due to the fact that the code was already entered in the input boxes. I think there needs to be blank input boxes and have students fill them in with the option to view the solution.

By Chinwe N

Mar 26, 2019

Please provide better instructions for graded assignments, and please include relevant video or tutorial sessions on topics presented in the homework (many topics were newly introduced and confusing for beginner programmers).

By Junfei Z

Mar 26, 2020

The final quiz doesn't pose data link in the assignment. Some people already have Studio account, don't need to follow the steps to open new account, had hard time to find data. Really cost me couple hours to find data....

By Brandy T L

Mar 4, 2022

V​ideos were way too fast and had to be watched mulitple times. The lab assignments didn't always align with the videos, were too complex for the knowledge of the course, and often had several instances that did not work.

By Ozge I

Jan 29, 2019

There are several typos in the slides of this course. I hoped the final assignment would be more meaningful in the sense that it would evaluate the knowledge of students on large set of concepts learned in the course.

By Kenneth K

Dec 20, 2018

Good and quick run-through of essential python. Not five stars for many errors on videos. Practice Notebooks on CC labs had usually correct info, but many videos had frequent errors which could hinder understanding.

By Josias B N

Feb 8, 2021

For someone with some experience in programming the course was light. But I have to admit if I didn't have any previous knowledge the labs would be somehow hard. It's a sudden jump. But overall a positive experience.

By Siddharth B

Jul 11, 2020

Although an adequate introduction to Python, this course needs improvement. The videos in particular need to be redone so that sufficient time is given to explain these concepts instead of moving at breakneck speed.

By Je G

Oct 26, 2020

The videos, labs and quizzes did not support one another. I feel like the material tested was not covered well. It would have been helpful to have examples in the labs that helped put into practice what was tested.

By Blair M B

Mar 20, 2019

Content was great. The way it was taught and tested was a bit choppy. Lots of errors in the video and beginner programmers would have a heck of a time completing the final assignment. You should tighten that up.

By Christine K

Mar 24, 2021

I found week 3 and onwards to be quite difficult and not at all at a beginner level. The explanations were too fast skimmed over the information, i had to go back and re-review and pause each video several times.

By Shikha K

Sep 7, 2018

'Python for data science' is best for beginner like me. I learned to work on basic tools of python like list, tuple, loop then pandas and numpy (1D & 2D). Cognitive Labs for these were great source of knowledge.

By David C

Mar 8, 2022

It would be a good course except for the IBM Watson tangent it takes. I was not able to sign-up for Watson and wasted a lot of time for no apparent reason. Otherwise good mix of theory/practice on Python basics

By Koray C C

Feb 2, 2020

Online videos are fine. But I wrote very little code and I am not satisfied with the active learning part. On top, TA's answers on my questions or other questions were inadequate or there were no replies at all.

By Moh'd F A R A Q

Sep 20, 2020

The course is good and it explained fundamentals simply and in a good way. but there are some important parts that was not explained such as potting libraries, it was prepared for students of the class to use.

By Eva P

Dec 9, 2019

As a beginner, this course was quite tough to follow. I felt like all of the concepts should have been covered a bit more extensively. The end assignment was quite daunting but in the end it was manageable.

By Shofiul A

Jun 10, 2019

The course material is great. As for the submission portion, I think it can be better structured. The course doesn't cover dashboards yet some knowledge of them is required in order to submit the assignment

By Naresh B

Oct 1, 2019

Really easy, even for a beginner. It doesn't challenge a learner to learn more on his own. Assignments are like spoon-fed to the learner. There is a strong need to add better and challenging assignments.

By Tom F

Jun 8, 2019

Everything about the course was good apart from the final question in week 5. A lot of people had problems with this because it was too confusing. It really needs a video, or explanation on how to do it.

By Carol L A

Aug 6, 2019

This course assumes some base knowledge, which can be challenging for someone who's inexperienced. Also, the final project includes some coding that wasn't covered in the course, which can be confusing.

By Marcello

Oct 13, 2019

Good course. However the current IBM watson environment differs from the course instructions. Thats making it more of a trial and error path to end up at the same place as the instructions tell you to.

By Andrea V

Apr 7, 2022

It seems, somewhere, as some steps are missing and the courses are organized by different person with different fastness and diffciculty level.

I had difficulties to follow the upgrades of the weeks.

By Hashem A

Jun 16, 2021

The content are not easy. you need to read more from outsources to increase the knowledge. Then as a second step, you need to practice a lot. Third, without practice you can not increase your skills.

By sandeep r

Oct 11, 2018

I observed mistakes here and there, there are no proper instructions. instructors don't answer in the forums. you will have your questions unanswered fro weeks. course content could be much better.

By Lena R

Nov 1, 2021

The beginning of this course was pretty solid, but it got progressively more shallow as the course went on. I'm disappointed because I feel like the more advanced topics were kind of glossed over.