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.
par Rahul S K•
I don't feel like I am gaining any knowledge with the help of your course I am just completing it but I dont think after I have completed this course I can tell anybody that I have learnt anything I feel like use less. I cant use this technology anywhere. futhermore if someone asks me whats the use of this IBM watson I am blank i can just play with it thats it nothing else is it helping us somewhere no. what you have to say in this ?
Hard to understanding content in this section. Especially where the tutor give an example of case study. If you want to do some revision fro this course. Please explain it in more general because for people who didnt have Stastic or IT , is not easy to understand. And also for final assignemtn. Could you please make some example how to finish it ? because i dont know to serve the answer like what exactly you want
par Julie H•
Content was excellent in providing a framework to understand the process. Unfortunately, the tools used were completely inadequate. None of them functioned, course "TA's" frequently said problem was fixed, but it wasn't. Eventually, I just gave up on the ungraded exercises, but that meant I didn't actually learn anything beyond what I could have gotten by reading a book.
par Dominik T•
It was great to learn about the methodology and the process that goes into building a model. However, the video lectures felt like something that was quickly thrown together without any passion; extremely boring with a monotone voice, uninteresting slides, and a core example that was boring and felt uninspired.
par Melissa C•
Can't download the transcript for studying. Only get subtitles. A lot of information to learn. Found questions on the tests that were not in the material (I went back through the videos after the tests and no mention of some of the questions). Hope the rest of the courses are more complete.
par Steve O•
Sometimes methodology can get verbose and abstract, but this content was quite good. The outline of topics and methodologies could have been a little tighter.The English is not so good and there are lots of spelling and grammar errors. There are also bad links for things like images.
par Frederick A P•
The videos contained what felt like a lot of information that would have been bettered digested as a written lesson. I believe the course would have been better if all the information in the videos was also available as a pdf, to really be able to look at the slides while reading.
par Hailu K•
Doesn't fit as one of the starting courses for the data science certificate series: touching on a lot of jargons that will only be covered later. Plus, without writing the code and performing the analysis one can benefit very limitedly from this course.
par Caner A•
The narrator speaks like he is reading the text. Content and especially case study is not easy to understand and somehow the method for teaching makes it more difficult. When you are trying to have full screen, resolution of the pictures are poor.
par Eleni A•
The topic is very interesting, the examples though are not sufficient. It would be helpful to exntend the lesson with many examples, some simple and some complicated, in order to give better knowledge and understanding. It is not very engaging.
par Matthew W C•
the content of this course is not well designed for the beginners, it actually requires a lot of knowledge in data science field in order to fully capture this lecture. however this course is supposed to be an introductory course (I think).
par Max T•
The material was not engaging. The quizzes had questions with answer choices that were longer than the actual question and were all correct answers except for the addition, subtraction of one word or in one case a single Roman numeral.
par Wong Y O•
The example topic is not easy to understand for people work outside hospital, it is better to use some common examples such as email and credit cards that more easily understand the flow. Too much technical terms and explain too fast.
par Michael F•
Needlessly complicated, and could be offered in much simpler examples, the expressions and case study is very irritating to understand due to complex description. Also the context of the course could be offered in much simpler way.
par Bivek n•
It is a bit too fast for the beginner students to fully grasp the idea. I mean of course, the topics of methodology looks fairly straight forward but the explanation and example used in those topics are not explained in detail.
par Fedrizzi E•
The methodology presented is useful, and can be a good reference for those new to the subject. However, it is not always clearly explained, and as in previous courses too many technical terms are employed without definitions.
par Matthew E•
The sites have changed so following the directions of this course were very confusing and hard to understand. The update from Data Science Experience to IBM Watson studio did not relate to the video demonstrated in this class
par A L I S O N•
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?
par Varun P•
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.
par Andrew W•
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...)
par Berenice E•
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.
par Thinh N•
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).
par Nathaniel K•
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?
par Kiran H S•
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
par 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