good to understand basic of data science

Few chapters are a little bit too lengy.

I really liked the concepts covered in this course and found the instructors engaging. I felt the course readings were essentially the same as what was covered in the presentations so would probably skip one or the other next time.

Pretty thorough for an overview, and it touched upon most concepts that you'd need to approach Data Science in any meaningful capacity.

My only gripe is with the literal last quiz, wherein no questions were asked based upon the materials, but upon additional PDFs attached to the quiz itself.

You cannot link me 4 PDFs and then claim it's a 4 minute quiz.

It's a good course when you have a beginner level experience in data science.

It provides you with bite-size information to get your hands dirty

The course was fantastically done. I only noticed that the video player would sometimes end the video early and that I would miss some of the pertinent information for the quizzes.

I personally found it difficult to understand some of the language used, which I think could be simplified better. I personally learn better, when I'm not being overloaded with loads of facts & info, however I did like that we could do some reading at our own pace, then get shown a video. I like the videos, and the quizzes.

The trainers are not equal in quality.

Perhaps too shallow. I was expecting more info.

The material and lectures are good but the quizes are not very helpful and somewhat random (in answers). The small number of questions make them very unforgiving.

Very basic and to short.

Pretty high level and quick. Hoping the remaining courses in the specialization give more depth. (Completed this course in an afternoon.)

Added value is highly dependent of your experience with data analysis or data engeneering

Good starting point, maybe too short. Hope next courses on the specialization become more extense in content. I've always have issues to follow Peng's line of thinking, it's like kinda in some way he is doing some sort of improvisation or so, I love his books, but his lectures are very hard to follow, even the short ones.

Interesting course

Solid introduction. Not so engaging if using the non-paid options

This course leaves you frustrated, as valuable information is only ad the end and at the beginning. It doesn't really answer questions of what are data science, big data, machine learning, how they interact and how to use them.

A good introductory overview of data science. Grounds you on what you can & cannot do with data science. I find defining the question really impactful. Teachers were enthusiastic and the brevity of the course gives it good appeal for beginners who want to "get their feet wet".

O

Really basic course. Not needed for people you have already done data science specialization in coursera

Good, simple, straightforward, and applied. It starts to introduce you to the language and platforms of data science, but it is most definitely not a standalone course if you want to be conversant in the field. Really just a "taster" to get you into the specialization.

Very basic course!

it was a little lighter than I expected

It provides a quich shot on data science, but the way it presents is not so interesting.