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Learner Reviews & Feedback for Data Science Methodology by IBM

20,102 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


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A bit more complex than what I would have hoped, but the material is still digestible. I think this course could be improve if the lecturer slow down a bit and spend more time on each topic


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This was a clear and concise overview of the methodology and using the case study really helped (although sometimes it got a bit advanced considering this comes before actually learning models).

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2526 - 2537 of 2,537 Reviews for Data Science Methodology

By Rafael P S

Oct 29, 2021

A lot of bla bla bla and no practice.

By Denis K

Aug 19, 2021

not informative, would not recomend

By maazin k

May 16, 2020

Not good.Not worth at all.


Apr 27, 2022

cant generate certificate

By Nicholas J

Jan 27, 2020

Not very useful at all

By Avi

Nov 5, 2019

not stimulating at all


Oct 19, 2023


By Abdurrachman M

Apr 20, 2018

Not interesting

By Naga s T

Feb 21, 2023

not impressive

By Saptashwa B (

Apr 8, 2019

Useless Course

By Jean-Yves R

Oct 29, 2021

Really bad.

By Boru R

Sep 5, 2020