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

4.6
étoiles
16,950 évaluations
2,066 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

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 :)

JM
26 févr. 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.

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1851 - 1875 sur 2,065 Avis pour Data Science Methodology

par Baptiste M

25 oct. 2019

IBM Developer Skills Network tool is a complete disaster, spending more time trying to get what should have been a PDF than actually studying...

par Pedro C F

18 févr. 2020

the case study is not easy for someone whos is doing it for first time, also you need more text for explaining the approach analytic.

D.S Pedro

par Jennifer K

4 avr. 2019

The topic is super important and interesting. The content of the course was a bit hard to follow. More real-life examples may have helped.

par Sai T

22 oct. 2019

The examples used were poor and the definitions of each stage were not concrete, workable definitions but rather very abstract definitions.

par Andrea M

6 sept. 2019

I guess it is a good course for someone who has never taken any research methods. But having a PhD this course was quite useless for me.

par sidhartha m

1 déc. 2019

The example/s (with all due respect to the good knowledge of the author) could be improvised, however

overall, an excellent course!

par Raymond P

11 mai 2019

I think it's a little bit vain to introduce in such way for some people without much background in statistics and machine learning .

par Букреев А Н

15 nov. 2021

Х​ороший курс, но я не могу скачать свой сертификат. Обидно, потому что прошёл все задания, но значок не светится в личном кабинете

par Islam M

13 déc. 2019

the narrator is speaking fastly as i can't understand that with this high rate words with my little english experience in listening

par Rushikesh J

23 juin 2021

The course has delivered basic understanding of the flow, but

1)No clear images in videos

2)This could have been more interesting.

par Josep R C

22 avr. 2020

Not a complicated course which gives you an accurate, intuitive and useful methodology applicable to any Data Science problems.

par AAKASH K

3 avr. 2020

Lectures were informative but slow. Need to be more engaging to keep interest ongoing.I dozed off during certain lectures.

par João R d C

19 déc. 2019

Some of the lectures were not very clear. This grading is based on a comparison with other courses in this specialization.

par Sylwia K

9 mars 2019

For me this part was a little too much descriptive and given example (hospital patients) is not very easy to understand

par Bhavesh S

27 mai 2020

Please change the audio track without earphones it is impossible for us to listen otherwise i would have given five.

par Ali I

4 nov. 2019

Hi Dear Team ,

I thinks this course need more clarification and more details and examples.

Thank you fro your effort.

par Reinhard H J

4 oct. 2019

Very generic and superficial explanations. Needs more substance. The best thing was the explanation of the ROC curve.

par Michael S

13 avr. 2020

IBM python online exercises were difficult to complete because of faulty online implementation. Content seems dated.

par Hoang N H D

19 févr. 2020

Overall is good, except the example of heart disease was too complicated to transmit clearly the idea of this course

par Arup K N

23 juin 2019

This course is more theoretical than practical which kinda makes this course a little boring then the other courses.

par Giovanni P

4 févr. 2020

Interesting, even though there are a lot of theoretical lessons, and many times they require an extreme attention

par Islam S

7 nov. 2020

A good simple yet essential course to establish a mind set on how to deal with data problems in an organised way

par Bill W

31 mai 2020

The final assignment was a bit vague probably due to the choices of subject we were allowed to perform this on.

par Omar S

22 mai 2020

a la herramienta externa le hace falta un entorno mas amplio para que se pueda aplicar los recursos aprendidos.

par Nikolay B

18 mars 2021

very shallow course. Better that two courses before, but still no real knowledge learnt, no skills practiced