學生對 IBM 提供的 Scalable Machine Learning on Big Data using Apache Spark 的評價和反饋

Content was ok , IBM has better course production than this , sorry to say , i m very grateful for the effort

tutor took . Thanks

This deeply need a much more detailed course on Apache Spark. You need far more than this course to actually get into PySpark.

Good introduction but seemed rushed and felt like it had lot of gaps . But the explanations that were given were very nice

Hard to listen video without subtitles.

It be better to show how create a notebook in the watson on the first lecture.

It would be nice to have an updated course content video. Other IBM courses are much more updated and interesting.

Very hard to understand the instructor. The speech intonation needs to be improved as a first step.

The english accent of Mr Romeo Kienzler is sometimes difficult to understand but knows the program

There was not enough learning about how to use ApacheSpark, it was more of a show what it can do.

I think representation should be better and provided coding notebook should be self explanatory.

The instructor in this course lacks thorough explanation of the topics being discussed.

would like to have the video examples codes / link to follow the exercises hands on

more hands-on would be nice, rather than having so much of the code pre-written

Compared to other courses in AI Engineering, this one was a bit too technical

Content was ok. Not many insights why Apache is better/faster than others.

Not Clearly Understandable. Lack of Deep Knowledge provided on the course

Very high level, exercises could have been more challenging and hands-on

Me parecio incompleto el curso. Algunos temas debieron extenderse mas.

Concepts not explained well, have to watch videos twice to understand.

I would add more practise exercises as well as the intended answers

Videos are outdated which makes it hard to follow along sometimes.

The contents are not well-organized and sometimes confusing.

The course is outdated. exemples in old version of spark

Good content but explanations are not always very clear

Video is too blurry and so is the content of course.

Multiple errors in the instructional videos.