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

4.6
étoiles
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

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!

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2001 - 2025 sur 2,188 Avis pour Data Science Methodology

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

par frocchio@hotmail.it

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 Nidhi K

13 juin 2022

This module would be more beneficial after learning basic ML concepts.

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

par Fabrice A

7 oct. 2019

the video lectures was really fast making it difficult to understand

par Philipp K

12 juin 2019

too much information on slides. Use more pictures for visualization.

par Hareesh T

31 janv. 2019

An introductory overview of what Data Science actually is meant for.

par Vasudev S

7 juin 2020

Make this course more intuitive rather than being just all theory.

par Gokul N

18 avr. 2020

Too theortical course ,could have an eaiser case study to explain

par Mohammad Q

21 août 2019

Good Methodolgy but I feel like I need more explaination about it

par Paren A

9 mars 2019

Nice overview, but brushed over far too many topics very briefly.

par Harishankar

11 avr. 2020

The video narration is so boxy type, and need to be interactive.

par Michael O

15 avr. 2021

A good introduction to some of the basic ideas of data science.

par Amanda C

18 déc. 2019

This course teaches memorization of a proprietary flow chart.

par Sourabh S

9 mai 2020

Very Theoritical Course, and honestly a bit boring as well.

par Avinash K

19 févr. 2020

Bit confusing - especially the analytical approach chapter.

par Leon W

4 avr. 2022

Good structure

I​ think I spotted 1 content-related mistake