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Voltar para Data Science Methodology

Comentários e feedback de alunos de Data Science Methodology da instituição IBM

16,646 classificações
2,019 avaliações

Sobre o curso

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! LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Melhores avaliações

13 de Mai de 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 de Jun de 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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1801 — 1825 de 2,021 Avaliações para o Data Science Methodology

por Umaimah Z

8 de Jul de 2019

The example provided was not good at all to follow on the concepts. i had a hard time following up with the video since very little time was spent on each concept.

por Marnilo C

25 de Abr de 2019

The discussions were too introductory. This would be acceptable had there been links to resources which provided more detailed information on this important topic.

por Bercessio M

9 de Dez de 2019

The final assignment is not clear

Data preparation and modeling quite confusing for someone with no prior knowledge in data manipulation and statistical background

por Jayan T

22 de Out de 2018

Its an important topic for data scientists, but wish it was taught in a more interesting way with multiple examples of different types instead of one case study.

por Siddhartha P

21 de Abr de 2019

Very short and filled with too much jargons. A much simpler case study would have been great instead of deep diving into the world of Life Science & Healthcare

por Declan H M G

13 de Mai de 2019

I found the material here vague and difficult to follow at times. Which led to confusion particularly about what was expected with the peer graded assignment.

por Головатенко В В

25 de Jan de 2020

Well, when the previous courses in the specialization were a total waste of time, this one is adequate, but still not very usefull for data science itself.

por Wilbert V G

3 de Jun de 2021

The speaking is too fast and the slides don't help much to follow up the explanation. I found it is better just to read the transcript at my own pace :-)

por Alok M

12 de Jan de 2020

Better problems (more generalized and relatable) could have been used to describe and make the modules understand better. Not satisfied with this course.

por olu

31 de Mar de 2020

Teaches what it's supposed to but could be more indepth in establishing your understanding of the process of methodology from Analysis to Evaluation

por Alirz110

4 de Mai de 2021

This information is replicated and immersed in the workplace of a data science expert.

In my opinion, there was no need to attend a separate course.

por Lahiri B

13 de Out de 2020

Questions asked during the course videos were repetitive and three of them could not be submitted due to some error, despite trying multiple times.


14 de Abr de 2020

It's good but I think the case study is not easy to understand and another case study must be included which easily makes you understand this topic

por Mark H

30 de Jan de 2019

Course was ok. It's difficult to formalize data science into a generic methodology where subject matter expertise is separated from the process.

por Baptiste M

25 de Out de 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...

por Pedro C F

18 de Fev de 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

por Jennifer K

4 de Abr de 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.

por Sai A T

22 de Out de 2019

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

por Andrea M

6 de Set de 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.

por sidhartha m

1 de Dez de 2019

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

overall, an excellent course!

por Raymond P

11 de Mai de 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 .

por Islam M

13 de Dez de 2019

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

por Rushikesh J

23 de Jun de 2021

The course has delivered basic understanding of the flow, but

1)No clear images in videos

2)This could have been more interesting.

por Josep R C

22 de Abr de 2020

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


3 de Abr de 2020

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