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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
15,149 ratings
1,779 reviews

About the Course

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....

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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1576 - 1600 of 1,762 Reviews for Data Science Methodology

By Ali I

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

Oct 4, 2019

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

By Michael E S

Apr 13, 2020

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

By Hoang N H D

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

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

Feb 4, 2020

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

By Islam S

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

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

May 22, 2020

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

By Milena S

Feb 4, 2020

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

By Maria

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

May 28, 2019

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

By Adam S

Apr 6, 2019

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

By RAJ S

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

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

Aug 25, 2019

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

By Divya

Jan 31, 2019

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

By piyush d

Aug 13, 2019

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

By Jacqueline ( G

Jun 3, 2019

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

By shenghui

May 18, 2020

personally, I think it is a bit wordy and the pictures in slides are of low resolution.

By Tanmay K

Apr 27, 2020

Statistical Tools were not explained in detail. Hence at one point it was confusing.

By KU B K

Jan 28, 2020

The case study is a bit hard to follow and the explanations are bit too general.

By Cornea D A

Sep 12, 2019

Some summarized text support would have been useful for the final assignment.

By Hassan B

Aug 20, 2019

It's good course but still need more explanations and examples to be clearer.

By Amir S

Jun 7, 2019

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