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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
19,899 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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2251 - 2275 of 2,503 Reviews for Data Science Methodology

By Amir M

•

Mar 23, 2023

Good course, but the case studies were not easy to understand. I think more examples are needed to elaborate the DS methodologies.

By christopher a e e

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May 23, 2023

Realmente podrían ofrecer mas información detallada acerca de la metodologia e incluir actividades practicas que se puedan hacer

By Rushikesh J

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Jun 23, 2021

The course has delivered basic understanding of the flow, but

1)No clear images in videos

2)This could have been more interesting.

By SATHESH M E

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Oct 28, 2023

Need more videos from professionals and professors perspective. Now its only look like from only reading the ppts not teaching.

By Josep R C

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Apr 22, 2020

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

By AAKASH K

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Apr 3, 2020

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

By João R d C

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Dec 19, 2019

Some of the lectures were not very clear. This grading is based on a comparison with other courses in this specialization.

By Sylwia K

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Mar 9, 2019

For me this part was a little too much descriptive and given example (hospital patients) is not very easy to understand

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 Adam 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.