P​ersonally, I've found that the knowledge delivering method should be redone in a more attractive manner. Concretly, the fact of giving too many texts and theories in the slides easily make students get bored and lack of motivation to continue listening. For such kind hands-on courses, we need more and more practical exercises instead of too many theories lectures without showing any demo neither coding in the slides

IBM stopped to maintain/support it's platform where the jupyter exercises are hosted since more than 1 year !

It's a true shame, we discover at the end of the formation than it is impossible to finish it...

It is a great course on the theory part but there is no practical part " I guess they was depending on the next course in the specialization", also it would be better for more non robotic way in delivering the lectures.

To me, this seems like general BS full of buzzwords, but you won't learn anything practical anout how to use these tools

It's very hard to follow a bot's voice. Not at all interactive. A machine keeps speaking at a speed. That's not a way to learn something.

Too dry and technical plus I couldn't get some of the codes with the notebook to work. There is a better video especially for Hadoop on Udacity that gives a much better explanation and I do hope you try to make the material more digestable. Each video is trying so hard to cram as much information into it as possible without giving the students much time to understand what is going.

Good course on the theoretical concepts needed to understand these tools. However, there is not much practice.

It is Presentation deck with AI bot giving Voiceover narration. No one really teaching anything .

the lecture was clearly understandible and I feel very gratefull to have this lecture

thank you it was phenomenal😊

Fantastic blend of theory and practical (labs). The labs are short and have concise material.

leesons also the time i spend was unnoticable thank you so much

thank you so much , i really enjoyed the course

Such a great course.

easy understanding

Good course

Excellent!

good

Since I already had a previous banckground using Spark this course refreshed the theoretical foundations about its main topics: RDD, parellelism amog other. It was good to remember the way Spark works. On the other hand I must say there are some troubles with some labs environments where is not possible to work on the practical exercises.

hands on lab and quizzes at the end of each session was very helpful

t​oo easy to solve the exmas!