This course does a really good job to include and teach as much of python programming principles as possible in as little time as possible. I put a 1-star however, only because I expected that there was more step by step and gradual teaching and instructions on applying the theoretical concepts on data management. The progress curve in the labs applications was really steep unfortunately!

Lot's of good content. But the labs are very superficial and they just repeat what shown in the videos. The quizzes are too easy and they do not push you to actually apply what you learned. The final assignment was ridiculous. Just using Pandas to import some data, nothing more, no loops, no if statements, no analysis of the data. Continuing being quite dissatisfied with this certificate.

This course was not well designed. It needs intensive editing and rewriting.

The author emphasize the use of IBM cloud products, but the course needs to elaborate in this area if this is the desired target.

Not enough explanations were dedicated to the Python language itself. To succeed you must know some Python before you learn the course, or learn during the course from other sources.

Bad videos.. Many methods and functions in the lab are not explained in the videos

To complete this course I spent most of my time reading documentations and searching to understand what is said as there is no enough explanation or even resources to read from.

(Maybe this method suits you but I didn't like it)

Classes in IBM Data Analyst track seem to be for marketing purposes. They force you to sign up for IBM products, provide your personal information and credit card number, and then it doesn't even work. You really don't learn much in the actual classes, they just seem to want to advertise IBM products.

Absolutely worthless course. Waste of time. You will only get begginner knowledge after listenin to videos with tedius useless information. I knew python before and i watched in horror and disgust how horrible topics were covered and how unnecesarily complicated they were forced to become.

Examples in the videos was not good, at least giving some examples for necessary functions in videos would be good, If you don't want to put new videos than at least give students the documentation link to guide them so they can learn themselves with parallel to labs.

Plenty of essential stuff has been skipped. There was no consistancy and unfortunately it didn't go gradually. I wish the authors assumed that this course has been developed for beginners i.e. people who probably see all of this stuff for the very first time.

Signed up for Applied AI and suddenly IBM and Coursera decided to update the program to AI Developer program. Thumbs down, I only committed my time for 7 courses, but now you added 3 more courses and I can't continue anymore. Wasted my time big time!

It all makes sense till about half way into the course then it turns into some kind of gibberish and you get completely lost. The videos are just text to speech and the labs are very bland and not interactive at all. Waste of time and money.

The entire Data Science Certification course is misdesigned. It is not at all beginner-friendly. It seems like the entire thing is rushing down on covering the concepts within 5-10 minutes of videos with insufficient demonstration.

You won't walk away with anything more than a superficial understanding of Python. The introduction is cursory, the course breezes very specialized python code for data science and there is very little hands-on practice.

One of the worst courses/attempts at teaching something I've ever seen. Datacamp Python is a million times better and this random book I bought was way better.

Labs are garbage (only half of them load, most of the info in the lab is not covered by the video, we don't use an interpreter), videos are too fast

Weeks 1-3 were really good, But the lessons in weeks 4-5 were really were incomprehensible and it was really hard to understand things

Trash. Have someone who knows how to put together a course rewrite this. The ordering is wrong and it skips steps. Very bad.

It should be much more better explained for a true beginners. Also, there are many corrections needed.

Pretty disorganized. It did not seem like staff were experts. Lots of mistakes in the code.

A lot of not-working codes and tasks unable to solve based on the lessons taught before

Lab is not working. I am not able to access any of the hands-on lab exercises.

Python for beginners... it teaches nothing about data or AI or development

its very bad, not clear and the videos doesnt explaine any thing.

Lots of ambiguous statements, and sometimes inconsistent content

very poor course fuck off coursera

worst python course ever