Learner Reviews & Feedback for Data Science Methodology by IBM

4.6

stars

21,001 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

Jul 7, 2019

I like the way they provide sample with food preparation on each of the stage of data science methodology. Need to give more sample for the study case to give more insight and understanding.

Nov 30, 2019

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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1526 - 1550 of 2,669 Reviews for Data Science Methodology

By Vijay V

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Nov 27, 2018

very useful!

By Lin L

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Nov 21, 2018

great course

By Vasileios M

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Nov 6, 2018

Thank you!!!

By Stefano S

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Sep 27, 2018

Very usefull

By Awais A

•

Oct 12, 2025

Nice course

By Mohamed

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Apr 8, 2025

good course

By Melih G

•

Apr 2, 2025

It's great.

By Shraddha D

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Aug 8, 2023

nice course

By Priya N

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Jul 30, 2023

I love this

By Md A

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Jul 4, 2023

good course

By Eduardo M

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Apr 15, 2023