Quick scope of data science. I particularly liked the discussion about fad versus fact towards the end of the course. Some questions in quizzes seemed a bit arbitrary. The course delivers what it promises; crash-course with the key ingredients for understanding more about what data science is about

A pretty helpful course if one wants to get an idea about what Data Science is. But I was expecting a bit more hands on example in the end. Maybe not a graded part of the course, but still something to give the student a practical idea of how things look like when they are actually doing stuff.

Some of the content and coverage was excellent and others mediocre. There isn't a consistency in the availability of slides that can be downloaded (available for some, not others). Also, when a quiz answer was marked wrong, I would have liked to know what the right answer is for the question.

A good course to start on your journey to understand DS and Machine Learning

I am familar with most of terminology through my experience. My learning is limited because of that but some one new to the filed would definitely learn more. I have taken this as part of Executive Data Science Program

A good primer for aspiring or casual data scientists. I wish it were more technical so I could adopt some assignment solutions for my work, but for one week course the syllabus covered is perfect.

Wish I could save my progress for free to show only to myself that I've completed this course.

This course is an excellent starter course.

Just one thing, a few simpler examples for certain concepts may be better for understanding them, as some people (like me) who are not well versed with scientific terms and concepts find it a bit challenging and difficult to understand them.

Crash course is the correct description; vast amount of material covered in a few segments. As a result, this course is fast-paced and does not go too deeply into any particular aspect of statistics. It is nice to have a little knowledge of the subject matter but it is not required.

As a newbie to the field of data science and also not native english I found it a bit hard to follow along. The lingo is sometimes too "technical" for me and I wish I had been more knowledgeable from the start. However, I'm learning new things, just a bit slower than other perhaps.

This course could be really usefull even for experienced Data Scientist to correctly organize a workflow in his\her DS team. The described technologies and some examples a little bit outdated in 2020, but most of the information is quite general and relevant for any period of time,

I am a PhD biologist leading a team of data analysts. I found this course to be quick and easy to follow, well presented, and extremely helpful. The instructors are truly professional and they excel in this medium, I was very impressed. Thanks Coursera and Johns Hopkins!

It was very good. I am not a DS but have been exposed to their work. I would like to debate whether Hadoop is the best place to do the work today, but the point made still stands. The one thing that made me put a 4* instead of 5: I don't see how it is "executive" yet.

I left with a good understanding of the reach and dynamics of the field of data science. Even with experience in using data to answer questions in the context of an organization this has been a good way of mapping out the areas where that experience can be extended.

Very interesting and complete overview

My only "regret" is that actually we need almost always 100% to pass (since the threshold is at 80% and the quizz have limited number of questions). maybe it would be worth bundling the tests (like one quizz every two videos?)

A very good intro to Data Science by three experts. Well-paced, with reasonable quiz questions and can be completed in less than a week. However, I would certainly not pay for it, because it is feels more like a well-designed ad for the spesialization that follows!

As advertised. This is a basic introduction into thinking about data science problems and processes. No statistics or coding, but the discussion of tools and ideas will be valuable for anyone who is numerate but hasn't been exposed to data science practices.

Course explanation/class can be a little more simple as this is a crash/basic course for data science. There were multiple situations where I had to google on few data science/statistics jargons, which I couldn't understand as I am a beginner in this field.

While the course has excellent material, I would not send any of my executives to it. The information is to deep and technical for a business executive in my opinion. I would have liked more examples on how implementing this would benefit a business.

Good starting point if you have no idea about what data science is about. It could be more helpful if it made a clearer distinction between classic statistics and data science (it is briefly mentioned); and what are the pardigms of this discipline.

The course was very good. However, there were many terms instructors used in the beginning without explaining them. But later in the course, many of these were explained. However, it always helps to explain any term when it is first introduced.

A really useful introduction to what is data science. I found it very complete, besides maybe I would have liked a little more deepness in some concepts. I'm willing to learn more about the subject, maybe I will complete the whole specialization.

Basic understanding of data science that can help your expectations and realty before entering deep in the data science courses. Recommended for everyone who wish to learn data science or build a data science team to achieve organizational goal.

This course is exceptional in terms of its content, instruction, and delivery. The materials are comprehensive and up-to-date, and the instructors are knowledgeable and engaging. Overall, it is a top-notch course that is highly recommended."

This is a beautifully designed crash course on Data Science and gives you insight into Machine Learning and how it can be used effectively. The examples it highlights are brilliant! Thanks to the instructors and Johns Hopkins University.

A good start but definitely from the point of view of organizations without a lot of funding. Fortune 100s often don't follow the process as they outlined it because they can afford technologies that don't require data extraction, etc.

Quite fast-paced indeed. Even the instructors seem like they're in a rush :)

It would have helped if there was a glossary of terms for people who aren't well-versed in programming basics.

But in summary, it's an interesting course =)))