The course is excellent, the hands on allow are realistic and allow you to have contact with the analysis tools and real Big Data applications. I am very happy and satisfied with the course.

Reasonable overview. The VM environment is a major challenge for my hardware. Takes more time to make it work than it should. I am wondering if a cloud solution e.g. GCP would be better.

Great overview about the machine learning in general. There are still lots not covered specially the Neural Network algorithms. Learning Spark MLlib was great advantage of this course.

The fact that the assignments are graded means that there’s incentive to work on them, solve problems, and ask questions. Traditional online courses don’t offer that incentive.

Hands n exercises and corresponding quizzes are great !Content could be more detailed, but may be I felt it so given my past exposure to ML. I enjoyed learning Knime and Spark.

The precise definitions for many commonly used terms were very helpful. You do not find these details in many books or documents. Also, using KNIME was also interesting

Good course, but I found several problems in the virtual machine and it was difficult to solve them with the forum info. I had to rebuild the vm several times.

Good overview of working with SPARK and KNIME - acceptable little theoretical background for all the presented concepts for the sake of application use.

This is a good course to understand how we can apply basic ML algorithm like classification, clustering using KNIME and Spark ML on very high level.

Good, would be better if was in portuguese. and sometime is very painful configure the machine. But is a good course, better than the previus 3

In my opinion this is one of the best courses in Big Data specialization. I hghly recommend it, because of the theory AND practical tasks.

I was expecting a deeper coverage of the ML algorithm, however the course was fun and it was useful for me to get acquainted with KNIME

There was a good explanation of concepts, but I think it was possible to include more themes or empathize more in other techniques.

This course gives a good overview of the main machine learning techniques to analyze data using either spark or a GUI tool (KNIME).

great course, felt it was a bit basic for some stuff, would've liked more hands on.

Liked working with 2 tools, KNIME and Pyspark

Generally its good content. However the VM setup is still horrible. Many time wasted on debugging and set up environment.

The concepts in the course are very good but very basics in machine learning, it's a good introduction to knime and spark

Good course for new comers. Regression and Clustering concepts were explained in very high level and need some in depth.

Very interesting course that will help us to understand how machine learning course works and also to analyze data.

Spark was too much for my machine to handle, but working with Knime was a nice visual and guided experience to ML.

Very practical and interesting course! Ideal for people who does not have previous knowledge in Machine Learning.

not enough work in the other machine learning models (the course centered the main part of it to classification )

105/5000

I lack to have more examples of a complete solution, applying all the concepts in a generic problem.

The instructor is explaining well. But still in some weeks there is a gap between the Hands on and theories

it was very useful for me to get knowledge about Machine Learning with somehow details and reminded me wh