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Voltar para Data Science Methodology

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

15,948 classificações
1,903 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 :)

26 de Fev de 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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1826 — 1850 de 1,886 Avaliações para o Data Science Methodology

por Amit K

18 de Abr de 2020

Examples are not clear. wasnt able to understand the methodology so well. Please use lay man examples.

por Fábio S V

2 de Mai de 2019

The methodology could be more explained, with different examples and the steps could be better explored.

por NEHA W

13 de Abr de 2020

The case study in the video is quite boring and it was very time consuming to understand the it.

por Aviv H

15 de Set de 2018

Very high level in most parts and in some is to detailed without any noticeable reason.. (IMO)

por Paolo F

23 de Mai de 2020

Too confusing. The separation between the sections are not explained in a good way

por Anant S

10 de Mar de 2020

Not very useful. You don't gain any practical skills after completing this course.

por David O

25 de Mai de 2020

The case study used in this course is really difficult to understand and follow.

por Amine J

2 de Fev de 2020

Not enough examples and the videos were running fast and not really explicative

por Dan L

4 de Mai de 2019

Very dull course, didn't learn very much and the assignments are very tedious.

por Sinh N

3 de Fev de 2020

video clips of IBM Watson interface need up to date with its current version

por Gaurav D

16 de Mar de 2020

The notebooks linked to the course aren't available all the time

por Marianne H

26 de Nov de 2019

Course was ok but final assignment left a lot to be desired.

por Ahmad S

9 de Jun de 2020

no enough information in this course. I dont recommend it

por Ashish D

22 de Mai de 2019

The videos are boring and but they are very informative

por Ashwin D

26 de Abr de 2020

Expected more from an IBM professional certificate.

por Toan N

25 de Fev de 2020

It's too general and difficult for me to absorb.

por Nguyễn T

27 de Fev de 2020

Too much theory there.

Assignment was useless.

por saira r

30 de Mai de 2020

Poorly designed course on a conceptual level.

por Hossein M

30 de Jan de 2020

Descriptions are too short and not in-depth.

por Sivaram D

19 de Dez de 2019

The mechanically voiced videos are not good.

por Chiara P M

18 de Mai de 2019

a bit boring but overall a useful overview

por Hellman O

1 de Out de 2019

The course is very basic and boring.

por Tolani B

20 de Mai de 2019

the presentation is a bit robotic

por Wayne W M

14 de Ago de 2019

Found it challenging to follow

por Angene B

2 de Fev de 2020

Find it to be a bit boring.