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.
por Walid M•
i believe the content is targeting more experienced audience, along the course it was bit hard to keep track of all information and the final assessment also aimed for higher level of knowledge
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.
por 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.
por 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.
por 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.
por 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,
por 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.
por 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.
por 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.
por 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.
por 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
por Erin 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.
por 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
por 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.
por 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.
por 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.
por 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
por 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.
por Aymal K K•
The case study should have been a general case bit specific to health its difficult to get around the course.
por Taha S•
This is the 3rd introductory course in this professional certificate. I am yet to learn something useful.
por Amit K•
Examples are not clear. wasnt able to understand the methodology so well. Please use lay man examples.
por Fábio S V•
The methodology could be more explained, with different examples and the steps could be better explored.
por NEHA W•
The case study in the video is quite boring and it was very time consuming to understand the it.
por Aviv H•
Very high level in most parts and in some is to detailed without any noticeable reason.. (IMO)
por Paolo F•
Too confusing. The separation between the sections are not explained in a good way