This is a proper course which will make you to understand each and every stage of Data science methodology. Lectures are well enough to make you think as a data scientist. Thank you fr this course :)
Very informative step-by-step guide of how to create a data science project. Course presents concepts in an engaging way and the quizzes and assignments helped in understanding the overall material.
Complicate course with poor valuation system. It contains a lot of basic information but without detail clarifications. I read external resources for a complex understanding of the material.
By Katarina P•
The peer review system is just awful. It takes ages to get graded/be able to grade others and the peers might not demonstrate language level required for grading an essay-type assignment.
By Alejandro C•
"Ungraded external tools" are not avaliable. For me, the applied example using medicine was hard to follow. Perhaps something less complicated could help explain better the problem.
By Xinyi W•
Too theoretical and the medical example was such a bad, hard to follow one for the course!
It could be content for one week instead of making it to a full-length 3-week session.
By Nuttaphat A•
Well, I would say this course has been disappointing so far. I hope it gets better soon. Otherwise, this will be the worst online course I have ever taken in my entire life,
By Sergio R R•
It is a bit too basic and vague. The methodology they propose and the supportive material is useful and interesting bur there are many gaps on the hands-on training.
By Iago T P•
The course is quite theoretical, I would appreciate more reading material. I don't think that the best way to explain the concepts are by using video lessons.
By Jake Z•
The quizzes focus too much on the nitty gritty details of the case study, so it is easy to get lost in that and forget the big picture of the methodology.
By Phil C•
The videos were very monotonous and frankly quite boring. The content was clearly delivered, but the assignments did not reinforce what was being taught.
By Magdalena R•
The course is interesting but I don't like robotic teaching. I think is missing some human interaction like other coursera courses I've done where you
By Erin J M•
The course materials need updating. The IBM platform has changed which has made it hard to maneuver the website and follow the directions given.
By Sha'Neice M•
This needs to be revised. Its very confusing, you need more assignments between lessons so that we can show we understand what we have learned
By Devraj S•
This course can have an easy example to explain the methodology for Data Science but there are hard ones and I really don't like it that much.
By Elvijs M•
Maybe of interest to people who have no clue about any sort of methodology or problem solving. Too boring and repetitive for everyone else.
By Jennifer M•
Terrible. Very basic. The tool tasks didn't work- timed out. Has no one to grade when it was over. I hope these get better.
By Georgios G•
I felt that the course was ill prepared. Also I did not like the explanation using the food example. It was not clear
By Dina K•
I would have liked for the course to go more in depth of the statistical tools. It was confusing and hard to get.
By Aymal k•
The case study should have been a general case bit specific to health its difficult to get around the course.
By Taha S•
This is the 3rd introductory course in this professional certificate. I am yet to learn something useful.
By Amit K•
Examples are not clear. wasnt able to understand the methodology so well. Please use lay man examples.
By Fábio S V•
The methodology could be more explained, with different examples and the steps could be better explored.
By NEHA W•
The case study in the video is quite boring and it was very time consuming to understand the it.
By Aviv H•
Very high level in most parts and in some is to detailed without any noticeable reason.. (IMO)
By Paolo F•
Too confusing. The separation between the sections are not explained in a good way
By Anant S•
Not very useful. You don't gain any practical skills after completing this course.