This course claims its taught Joseph Santarcangelo but yet every video is a AI women's voice that is just reading you bare bones information. This course provides information but does not teach. Coursera should be ashamed for providing lazy AI content so they can claim they are providing a course to take your 50 dollars. I do not recommend this course and instead please leave this site and go take the "Complete Python 3 Bootcamp" on udemy. I did that instead and I felt like a real human was teaching me skills.

I had been taken several courses with Coursera but this data science specialization lacks good planning and clear directions to complete. I asked many times the same question. I was stuck in the last assignment of week 5 and requested help but the responses were not adequate, I contacted the teacher assistants and even the instructor and just received an email to contact Coursera services. They just ignored me; I'm not sure how many students they have but several others have the same issue with Week 5.

I'm really disappointed with this course. I'm totally new to Python and I can confidently say that I merely grasped around a 20% of the whole content. Some videos are extremely short and fast. If you are new to this programming language, then it will be extremely hard to follow in those cases. And regarding the Hands-On Labs, some of them are good, but a lot of them teaches stuff like you are already familiar with Python, and not a begineer.

The third party tool is completely unreliable and it makes this course dissapointing and frustrating.

I wasted too much time trying to make it work, since it was either under maintenance or issuing bad gateway errors.

From the discussion boards, I saw that I was not the only one getting this type of errors, so it would be nice if a better tool could be used or maybe provide alternate instructions to use those Jupiter pages in Watson.

In my opinion, this course was very poorly constructed. The videos were OK, but the labs contained exercises that were very difficult to understand (because of grammar, syntax, etc.). It is hard enough to try and understand the python language. When the English language is not used appropriately, it can make understanding assignments very difficult. I posted several comments asking for help and never received a single reply.

I saw a bunch of people complaining about how instructions did not align with labs from almost two years ago. Two year later - nothing has changed.

Save yourself time, money, and frustration and pursue the Google certificate in lieu of the IBM variant.

My name is Tyler and I already completed the Google variant and currently work as a Data Integrity Analyst in a manufacturing environment using SAP with EDI flow.

There's no way this should be considered a "Beginners" course. Exercises in labs for week 3 and 4 are very hard. The videos are very understandable but the lab excercises are too difficult. There are way too many gaps in information. The labs seem to introduce everything nice and simply, but then hit you with an exercise that is way to difficult and often uses techniques that have not been explained at all!

This course is not beginner friendly. It jumped right into the meat of things without proper explanation of terminologies, logic, and reasoning. Other than that, the videos are so hard to follow because the narrator talks so fast and the slides go by so quick. If you have expereince with Python, then this is recommended, but this is far from the "Beginner level" that this course is advertised as.

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.

I completed the course in 2 months and dont feel like I know how to actually code. Multiple modules had code that would not run in the coding environment. Im going to Youtube to actually learn python.

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.