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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,440 ratings

About the Course

If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. In this course, you will learn and then apply this methodology that you can use to tackle any Data Science scenario. You’ll explore two notable data science methodologies, Foundational Data Science Methodology, and the six-stage CRISP-DM data science methodology, and learn how to apply these data science methodologies. Most established data scientists follow these or similar methodologies for solving data science problems. Begin by learning about forming the business/research problem Learn how data scientists obtain, prepare, and analyze data. Discover how applying data science methodology practices helps ensure that the data used for problem-solving is relevant and properly manipulated to address the question. Next, learn about building the data model, deploying that model, data storytelling, and obtaining feedback You’ll think like a data scientist and develop your data science methodology skills using a real-world inspired scenario through progressive labs hosted within Jupyter Notebooks and using Python....

Top reviews

AG

May 13, 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 :)

JM

Feb 26, 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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2326 - 2350 of 2,575 Reviews for Data Science Methodology

By Bhavesh S

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May 27, 2020

Please change the audio track without earphones it is impossible for us to listen otherwise i would have given five.

By Ali I

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Nov 4, 2019

Hi Dear Team ,

I thinks this course need more clarification and more details and examples.

Thank you fro your effort.

By Reinhard H J

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Oct 4, 2019

Very generic and superficial explanations. Needs more substance. The best thing was the explanation of the ROC curve.

By Michael S

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Apr 13, 2020

IBM python online exercises were difficult to complete because of faulty online implementation. Content seems dated.

By Dung H

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Feb 19, 2020

Overall is good, except the example of heart disease was too complicated to transmit clearly the idea of this course

By Arup K N

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Jun 23, 2019

This course is more theoretical than practical which kinda makes this course a little boring then the other courses.

By Giovanni P

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Feb 4, 2020

Interesting, even though there are a lot of theoretical lessons, and many times they require an extreme attention

By Islam S

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Nov 7, 2020

A good simple yet essential course to establish a mind set on how to deal with data problems in an organised way

By Bill W

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May 31, 2020

The final assignment was a bit vague probably due to the choices of subject we were allowed to perform this on.

By Omar S

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May 22, 2020

a la herramienta externa le hace falta un entorno mas amplio para que se pueda aplicar los recursos aprendidos.

By Nikolay B

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Mar 18, 2021

very shallow course. Better that two courses before, but still no real knowledge learnt, no skills practiced

By Milena S

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Feb 4, 2020

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

By Maria

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Apr 21, 2020

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

By Nicolas G

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May 28, 2019

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

By A S

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Apr 6, 2019

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

By Pasha B

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Jan 17, 2022

presentation slides are poorly prepared, images used either not in the original size or bad resolution

By RAJ S

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Sep 15, 2020

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

By Yusuf A P

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Jul 15, 2020

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

By shraddha k

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Aug 25, 2019

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

By Manjoosha y

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Apr 27, 2023

Some of the concepts are difficult to understand. The case study can be explained in a better way.

By Divya m

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Jan 31, 2019

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

By piyush d

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Aug 13, 2019

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

By Zahid S

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Aug 26, 2022

This course too was very verbose and the last assignment would have been better done in pairs

By Jacqueline ( G

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Jun 3, 2019

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

By Fabrizio P

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Aug 30, 2022

the labs dont work please fix them ASAP

i havent receive my badge common guys whats going on