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Learner Reviews & Feedback for Data Science Methodology by IBM Skills Network

17,935 ratings

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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1626 - 1650 of 2,224 Reviews for Data Science Methodology

By Eric G

Oct 9, 2019

A nice overview of methodology but at times it feels rushed. Assignments could do with a bit more rigour as well.

By Josimar C K K I

Jul 14, 2022

Great content. I learned more than I expected. tThe videos are great and the lab to practice are well elaborate.

By Korawan E

Jun 4, 2020

This course is useful and very interesting but the contents of this course is formulated too hard to understand.

By Luie J

Jan 24, 2021

A bit too fast. I think more case studies will help to understand the differences between the different stages.

By Bhuvana K

Aug 5, 2022

the course provides more insights into data science methodology for resolving a problem with specific examples

By Mauricio F O M

Oct 11, 2019

It needs to be more practical. A guideline telling what you really need to do inside each step would be nice.

By Christopher C

Sep 1, 2019

Providing the slides for each of the lectures is advised as it helps students go back and review the content.

By Chonlapat S

May 3, 2020

To little descriptive of each steps, too much focus on example which make it hard to apply to other problems

By ranjeeth

Jul 21, 2019

Some times are not easily understood for beginners content needs improvement. There are some missing threads

By Partha S D

Feb 18, 2019

Lectures were helpful and the content was great. It would be helpful if you guys can provide lecture slides.

By Andrigo M R

May 22, 2020

It was a little difficult to understand the writing. Everything else was great. I'm learning a lot, thanks.

By Deleted A

May 16, 2020

need more examples if possible,

the readmission example is not clear

the cuisine ingredients example is clear

By Vishakh V

Aug 26, 2019

The video lecture sometimes feels too fast to follow as the content in the lectures are new to the student.

By Mark P

Jul 25, 2019

The codes on the labs need updating. They don't generate the visualization necessary to reinforce learning.

By Nwoke C

Jun 3, 2020

The sited examples in this course makes the learning easily understandable. Of course, everyone likes food

By Kumar G

Jun 28, 2022

Understanding Python part without having prior knowledge is confusing & led to somewhat loss of interest.


Jan 22, 2021

Excellent For Fundamentals on methodology, would like to learn more about Prescriptive Analytic approach.

By Leonardo R

Oct 8, 2018

I think some parts of the course wasn't clear enough, but by researching on google about it helped a lot.

By Samuel L

May 27, 2022

Very good and easy to follow, although more in-depth examples of different model would have been a plus.

By Rohit A

Oct 20, 2019

This course was interesting but I felt that it was slightly confusing to apply for the final assignment.

By Kevin W

Mar 25, 2019

It is a bit challenging for beginners but totally worth it. Ensure you read listen to the material well.

By Monica S

Sep 4, 2018

Pretty solid information. Great for the novice with no background. Loved that it was basic and useful.

By Joshua A (

Jan 27, 2022

Some interactive activities like vocabulary matching may help with recall and word/process definitions.

By Utsav D

Oct 7, 2020

i think this course needs more practice cases so we can get much more comfortable with the methodology

By Siwarak L

Sep 21, 2019

Some of the detail was briefly covered, learners need to research more from other educational sources.