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Voltar para Data Science Methodology

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

4.6
estrelas
16,639 classificações
2,017 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

TM
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!

AG
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 :)

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1851 — 1875 de 2,017 Avaliações para o Data Science Methodology

por amir s

7 de Jun de 2019

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

por frocchio@hotmail.it

1 de Nov de 2018

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

por Ulvi S

24 de Jul de 2021

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

por Hiral M

1 de Mai de 2020

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

por Yadder A

7 de Dez de 2019

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

por Taimore I A

30 de Jul de 2019

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

por Harshit k s

12 de Jun de 2020

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

por Ariel E

31 de Jan de 2019

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

por Fabrice A

7 de Out de 2019

the video lectures was really fast making it difficult to understand

por Philipp K

12 de Jun de 2019

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

por Hareesh T

31 de Jan de 2019

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

por Vasudev S

7 de Jun de 2020

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

por Gokul N

18 de Abr de 2020

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

por Mohammad Q

21 de Ago de 2019

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

por Paren A

9 de Mar de 2019

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

por Harishankar

11 de Abr de 2020

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

por Michael O

15 de Abr de 2021

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

por Amanda C

18 de Dez de 2019

This course teaches memorization of a proprietary flow chart.

por Sourabh S

9 de Mai de 2020

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

por Avinash K

19 de Fev de 2020

Bit confusing - especially the analytical approach chapter.

por Veera v p p P

8 de Set de 2020

Modelling and Evaluation needs more examples for beginners

por hassan a

17 de Mai de 2020

Course is more on theory but less on practical approach

por Chris L

15 de Out de 2019

common sense is rated as professional in this course.

por Aleix C T

17 de Jul de 2019

good content, surprisingly weak delivery and teching

por Leandro S

8 de Mai de 2020

More deep treatment for some concepts are necesary