this course is so helpful for me as I am on the entry-level of data science learning.

however, 1 questions on the last quiz need to be reviewed,

Thank you, Coursera!

Great course, especially for those who have never had contact with Knime or with Big Data concepts before. I believe it will be very useful in my day-to-day work.

It's a good course for absolute beginners who want to learn "KNIME".

The instructor did a good job to cover the DS topics as well, however looks that she does not have time to reply you in Discussion Forums.

Issues - (1) the downloaded files did not have the column headers, (2) wording/language of some questions was ambiguous at some level, (3) nobody replies to the Discussion Forums

The first week of the course is mostly irrelevant, and I suspect it was took directly from the lectures of the teacher.

The're serious problems with the subtitles, probably because of the accent of the teacher. In special, Knime is translated as "nine" in english and "nueve" in spanish.

The fourth week has a lot of material, compared with the first three.

Some of the dataset used has different versions, with different data, into the repository. It causes confussion and therefore produces to wrongly answer some of the exams.

I think it was a good idea of the teacher to introduce the jokes (y)

It was difficult in the beginning of the course, but I enjoy the videos. It helped us a lot to understand and get used to the Knime Itself. It’s worth to try. I have no background in coding, but I can complete this one.

This course is very awesome. If you are really interested in Data science i will suggest you must go for it.

Alguns exercícios e testes não possuíam informações suficientes ou precisas sobre as configurações a serem utilizadas, o que dificultava que os valores esperados fossem encontrados de primeira.

Good over all information provided on bigdara

It was interesting to learn about Data science and the basics of how to organize and view it, but there wasn't much help from the forums. So whenever you get lost you have to review all the videos and chapters by yourself. I would recommend doing the version for the sake of learning it by itself!

the course is interesting, but no clear explanation/guideline for the answers of the exercises

Assignments need to be better described and settings details or results can vary.

Audio vquality is bad, resources are hard to find in week 4 and there is no interaction with instructors

This course is missing a lot of information necessary to complete it. Some of the videos are low quality and the audio cuts off in some parts. In week 3 there is a whole explanation missing. This is not a good course for beginners. I had to look up a lot of stuff on Google. Thank goodness for the discussion forum.

Amazing introduction to data science and KNIME. Education is best when you can apply what you are learning, removing the need to code allowed me to focus on using the skills to solve problems, and not spend time googling coding questions.

A very nice , clear and concise introduction to the basic concepts and the Knime Platform.

It would have been even more exciting if there were further more advanced courses after this.

Glad that I took this course.

I like this course since it gives me an operational overview on what data science can do on a large data. How I wish there is an extension to this course. Thank you!

The exercises help to fix the commands.

The PDF's are great. Some are complex to who is starting, but in general they are understandable and useful.

Wonderful course to start learning Data science.

Superb lectures.

Knime - great platform to work with

This is an excellent course. I really enjoyed learning data science with KNIME.

Very nice and interesting Course.. Thank you team & University..

Muy buen curso introductorio, dan ganas de seguir aprendiendo.

The best way to learn KNIME basics. Thank You Coursera !

Easily to Understand and very Practical.

Exceptional Delivery and Content

Very relevant course.