AG
May 13, 2019
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 :)
JM
Feb 26, 2020
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.
By A L I S O N
•Jun 15, 2019
The final assignment had me ham strung. You are supposed to do each of the 10 steps at the end, with very little guidance on HOW. The there are specific methods shown but what if they don't fit your final assignment example?
By Varun P
•Apr 13, 2020
I feel that the course is not vary interactive and in some cases it seems to be more like a commentary than an interactive session. Due to that its difficult to understand the basics of some of the important concepts.
By Vannessa C (
•Nov 11, 2022
Jargon was used interchangeably and material was not presented clearly as to what stage it belonged in (data understanding vs data prep and what could be done at each step. Similarly with the types of analysis. ) .
By Andrew W
•Oct 9, 2019
Not as engaging as previous courses. Feels like too much concentration on the healthcare case study, rather than the concepts. More of the key points should be on the slides (for the visual learners among us...)
By Berenice E
•Feb 8, 2020
No hay suficiente información y el "instructor" no es el mejor en esta sección. En general este apartado fue muy aburrido pero no por el material sino por el tipo de videos sin instructor y solo diapositivas.
By Yassine D
•Jul 6, 2022
The delivery is so dull.
The slides are not enough attracting and sometimes contain a lot of information.
Quizzes are so accessible to the point that you don't need to listen to the course.
Absence of practice.
By Ted N
•Oct 2, 2018
I really like the methodology proposed and introduced in this course. However, the whole idea can be summarized in less than 2 pages, which should be a section (a week) in a data science course (~13 weeks).
By Nathaniel K
•Sep 5, 2019
Videos get a bit boring. I would prefer less videos and more reading about the methodology. I google IBM Data Science Methodology and got more useful information. Why pay for a course that can be Googled?
By Kiran H S
•Apr 21, 2020
Case study should have been on simpler example / general topic which everybody would understand or correlate easily. Medical field terminologies / relations would be a black box for most of them
By Walid M
•May 6, 2020
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
By SG
•Jan 6, 2020
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
•Jun 15, 2019
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
•Oct 22, 2019
"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 Oguz A
•Dec 23, 2024
Concepts were very hard to understand, they didnt explained well. Examples are so complicated. I think all these parts should be though in more simple way with more clear examples.
By Xinyi W
•Jan 7, 2020
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
•Jun 3, 2019
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
•Apr 19, 2020
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
•Apr 19, 2020
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
•Jan 21, 2020
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
•Sep 21, 2020
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
•Nov 6, 2018
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 Abdelrahman A
•Dec 5, 2023
poorly explained. Exam answers when answered, sometimes it gives you true answer and sometimes wrong answer even though i gave the right answer.
By Rinny J
•May 25, 2019
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
•Feb 27, 2020
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
•Jun 5, 2019
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.