AG
13 mai 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 :)
TM
18 juin 2021
Very interesting course. It shed a light on what the structured approach really is. It's worth to pause for a moment with every step of the methodology and think how to apply it in real life. Thanks!
par Omatsone O L
•3 mai 2021
Case study about the heart disease is too complicated. The presenter is boring and not engaging do if someone has no prior knowledge, this cause will not help matters. If I could rate is minus 5 star I will because it doesn't deserve to be rated one star.
par Miguel P
•4 mai 2020
The course is really theoretical, it uses really bad and iterative examples that does not help to understand the processes and the case studies use really complex code that it is imposible to understand unless you already know coding.
par leonardo c
•6 déc. 2021
IBM should be ashamed of issuing such a patchy-mess up and chaotic material using its brand. Google data analytics course is way better in case you want to actually learn at leas something regarding data analysis / data science.
par genesis v
•29 avr. 2022
i couldn't do any of the interactive moudels. when I looked at the forum, other students had my same problem. I completed the course without actually doing the coding which willnot help with the future courses.
par Mathias T
•9 mai 2022
So far, this course is the worst of the entire program. The individual videos are not instructive and also poorly presented. The final assignment is difficult to complete due to the poor instructional videos.
par Tihomir T
•14 janv. 2022
Compared to the previous courses, this one didn't really match the standards, it's a very important topic and the course is done not professionally at all
par Jan D
•5 oct. 2018
Don't take it. No Course Instructors, no help. Not worth the money...
Even the Working Platform is always timing out or has a gateway error.
par imran k
•12 déc. 2019
Most of the content is in coding and hard to understand. There is no description given with coding so not easy to understand.
par Harsh S
•20 mai 2020
Examples in the course are very difficult to understand. Had to google everything that was being taught
par Diego R G
•19 mars 2020
Very poorly designed course. None of the labs work! Get ready for frustration if you take this course.
par Albert D
•25 oct. 2019
I went over this information in my MS in Data Analytics program. So I didn't learn anything new here.
par Alexander Z
•25 déc. 2019
Veeeeery basic course
No real tasks
Not up-to-date
Feels like 2002 material
No projects
No team work
par Bhavesh N
•23 avr. 2020
very bad course, lots of text, irrelevant case study, obsolete approach, irrelevant lab tool
par Ashish D
•23 déc. 2019
Not very usefull. Its more of a explaining an approach which is only introductory in nature
par Ounam G
•26 mars 2020
Uses external application which are not opening, how do we complete the course! Useless
par Ayham M A M
•28 nov. 2019
Very hectic and confusing course...it is really from my worst courses till this moment
par osama s
•26 févr. 2020
non useful course u wont understand anything the video is like someone reading papers
par Arjun S C
•5 août 2019
Any work that included working on cloud or watson studio is poorly instructed.
par mostafaabuzeid
•30 déc. 2019
VERY BAD COURSE
Very bad instructor
materials were removed
CASE STUDY IS AWFUL
par Mukto A
•14 janv. 2021
Fairly useless course. Better than Intro to Data Science, but that's it.
par Sebastian K
•26 févr. 2020
Waste of time. Whole course is just a marketing campaign for IBM Cloud.
par shahin m
•7 nov. 2019
A bit more concrete example with guided exercise would have helped more
par Nishan P
•21 oct. 2020
Absolute waste of time. The assessment task were pretty bad as well.
par Marjorie G
•7 déc. 2020
I expected more from IBM, It's mainly boring, please do better
par Galina M
•9 mai 2020
Too easy, not very informative, only theory and no practice.