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Avis et commentaires pour d'étudiants pour Data Science Methodology par IBM

17,728 évaluations
2,180 avis

À propos du cours

Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand. This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. Accordingly, in this course, you will learn: - The major steps involved in tackling a data science problem. - The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment. - How data scientists think!...

Meilleurs avis


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 :)


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!

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2151 - 2175 sur 2,188 Avis pour Data Science Methodology

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

C​ompared 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 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 instructor

materials were removed


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.