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

16,942 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

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 :)

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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1876 - 1900 sur 2,065 Avis pour Data Science Methodology

par Milena S

4 févr. 2020

Too complex of a case study to understand stuff. Also, too boring and theoretical and very less interactive.

par Maria

21 avr. 2020

The content is good, but there are a lot of typos and mistakes in the lessons and the assignments/quizzes.

par Nicolas G

28 mai 2019

This course was more organized the others, however, it needs to provide its student with more definitions

par Adam S

6 avr. 2019

It was ok. Definitely one of the weakest of the cert. Instructions were vague for the final assignment.

par RAJ S

15 sept. 2020

A simple example to explain the course would have been more beneficial for a wider audience I believe.

par Yusuf A P

15 juil. 2020

Decent course but can be shortened. A lot of the material was hard to follow and not very interactive.

par shraddha k

25 août 2019

More explanation is required. unlike other courses this course needs we refer other sources on net.

par Divya

31 janv. 2019

Concepts could be even more clear and understandable because this seems to be important subject

par piyush d

13 août 2019

explanation could have been better along with examples. It felt more like reading a text book.

par Jacqueline ( G

3 juin 2019

I think the example on IBM is good, but on the lecture slide is not very easy to understand.

par shenghui

18 mai 2020

personally, I think it is a bit wordy and the pictures in slides are of low resolution.

par Tanmay K

27 avr. 2020

Statistical Tools were not explained in detail. Hence at one point it was confusing.

par Prem K

7 sept. 2021

Overall course is good. But am unable to receive the certificate of this course.

par KU B K

28 janv. 2020

The case study is a bit hard to follow and the explanations are bit too general.

par Cornea D A

12 sept. 2019

Some summarized text support would have been useful for the final assignment.

par Hassan B

20 août 2019

It's good course but still need more explanations and examples to be clearer.

par amir s

7 juin 2019

The assignment is not very clear. The example had better to be more iterative


1 nov. 2018

a slight bit more technical than the previous two courses. Getting there ..

par Ulvi S

24 juil. 2021

It could be prepared much easier. It is hard to understand for non-natives

par Hiral M

1 mai 2020

Examples and case study in video of CHF was a bit difficult to understand.

par Minsung K

1 nov. 2021

Personally, very dull course material; please generate me a certificate.

par Yadder A

7 déc. 2019

I think that should have more information. And quizzes should be harder.

par Taimore I A

30 juil. 2019

Case study should be covered in more detail. The other content is good.

par Harshit k s

12 juin 2020

The case study was not that good, some good examples need to be added.

par Ariel E

31 janv. 2019

I'd like to see exercises where we can practice the methodology phases