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Learner Reviews & Feedback for Data Science Methodology by IBM

17,723 ratings
2,179 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!...

Top reviews


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 :)


Jun 18, 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!

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1701 - 1725 of 2,187 Reviews for Data Science Methodology


May 22, 2021

I have a bigges scenario of how to manage a Data Science project.

By Jeroen O

Dec 14, 2020

Good provides a good intro to the CRISP Framework.

By Ridhi S

May 13, 2020

It was a good one, but try to take a simpler case study material.

By Ravindra D

Nov 13, 2019

Good course primary focus on methodology (a theoretical approach)

By Nicklas N

Jan 17, 2019

A good overview of the scientific method applied to data science.


Apr 13, 2022

The course is covering all the phases of DataScience Methodology

By Russell K

Feb 23, 2020

peer graded assignment was graded unfairly for first submission.

By Siwei L

Jan 8, 2020

Case of heart failure not common enough for a easy understanding

By christopher r n

Jun 13, 2020

the github was hard to follow and the was some technical issues

By yonghui f

Feb 28, 2020

Kind of basic knowledge, give you a thought about data science.

By Beast C R

Sep 17, 2019

Good information. More interaction and less video would be nice

By Hamza Z A

Nov 22, 2018

A bit more descriptive videos could have made this even better!

By Ibraheem K

Jan 8, 2022

Easy course, prepares you to have a clear mind about the topic

By Ritvik S

Sep 1, 2020

Very good explanations and well-guided throughout the course.


May 29, 2019

very good support to Coursera IBM Data Science certification.


Mar 1, 2021

Tough, for my first set of data science courses, but doable.

By 郑上

Apr 10, 2020

the final exam is not easy,I uploaded it for three times....

By Nirav

Jun 7, 2019

A common example could be easier to understand for everyone.

By Viet H N

Mar 27, 2020

The example about medical in videos is hard to understand.

By Jayesh M

Aug 16, 2019

Use cases could be given from different industry as well.

By Vivek N

Jul 28, 2019

Language of Presentation was very difficult to understand

By Sibusiso T

Dec 5, 2019

We can go deeper with more examples and a sample report.

By Sathiya P

Aug 3, 2019

It was good, but it could have been made slightly simple

By Mohitkumar R

Nov 16, 2018

Great knowledge to methdology and data science thinking.

By Maxim V

Oct 16, 2018

actually not useful for anyone who did research projects