Very good topics very not very good instructors

Not a recommended course

T​he whole course seems to be mainly an advertisment for IBM Watson Studio. However, there are caveats in using the IBM service: Firstly, the instructions given in the course are outdated, and setting up the environment is quite cumbersome. Secondly, the free IBM cloud lite licence allows the usage of 10 Capacity Unit Hours (CUHs) per month. However, the environment that can be used for this course uses 1.5 Capacity Unit Hours (CUH) per hour. This is just not enough to provide a proper learning environment. All in all I found this course to be a bit of an embarrassement for IBM.

An introduction into incredibly basic data science concepts and the assignments are very simple. Would like a more in depth coverage of Apache Spark, including how to use it outside of the Watson Studio set up. I found the material on parallel computing quite complex and hard to follow. Some material has been removed from the course which makes the videos in week 2 seem a bit incongruous.

Videos are old. It feels like he had a bunch of material and put them together to create this course. For example: There are assignments that they give you the answer because the questions are not supposed to be there. He doesnt teach, instead, he reads a script. The assignments are not challenging and you dont feel like you learned. Horrible and painful.

A lot of the code explained in the video doesn't work with Python 3. The course is missing real examples with updated code working with the latest versions. If I have to go on the internet to learn how to pass each programming assignment of this course because the videos are outdated then I can do this for free, no need to pay the 40 euros/month. Thanks

The course does not correspond to the name "Advanced" Data Science at all. Instead of watching the videos about what mean and standard deviation are, I expected to get a more structured and detail view on what Spark is and how it works. Also, there are some typos and mistakes and creators do not put much effort on keeping the materials up to date.

Course materials is not up to the with the latest state of the IBM Cloud environment. IBM Cloud environment is super buggy. Need to transform this training to make the user use its own environment and not push the IBM Cloud infrastructure.

Covers about 30 seconds worth of actual content. If you know anything about Python/stat, this course doesn't give you anything about *scalable* with exception to a super high level presentation of the idea behind Spark.

The IBM cloud is constantly changing but the taching materials are always out dated, on Discussion Forum, they either don't reply to my question more than 2 months, or gave me technically correct but useless answers.

не можу зареєструватись за посиланням https://dataplatform.cloud.ibm.com/, будь ласка, перевіряйте справність всіх ресурсів перед тим, як публікувати курс. дойшов до практичного заняття і не зміг зареєструватись.

Structure and flow is the reason people pursue online courses then studying from any random youtube video tutorials. This course lacks those basic properties. Major concern was to promote IBM cloud than to teach.

Well I have taken several courses on coursera and their explaination was pretty good but in this course explaination was not up to the mark , very disappointed.

After the IBM Data Science Proffesional Specialization this course was very inadequate. Lambda calculus is not explained well.

Not well structured in my opinion. Difficulty of content not well balanced. Outdated presentations and content...

easier to just make it labs and some reading as all the videos are just watching the instructor type code

Not a course relevant to data science, what needed in the market perspective

course material is inconsistent and not well prepared.

To easy to be advanced ML course.

content needs updating.