Learner Reviews & Feedback for Data Science Methodology by IBM

4.6

stars

20,967 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 6, 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.

Dec 30, 2019

It is a very important course to understand the procedures and thought processes behind data science. I strongly recommend it to those who are unfamiliar with data science or reserach methodology.

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2251 - 2275 of 2,658 Reviews for Data Science Methodology

By Jairo S B

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Jan 26, 2021

Very clear

By Abdulwasiu B

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Jul 23, 2020

Very good,

By KOUSHIK B

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Oct 17, 2021

excellent

By Jorge A D M

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Apr 26, 2020

excelent!

By David L

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Mar 21, 2020

Thanks!!!

By Abdelhamid G

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Dec 24, 2019

very good

By Koyya S

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Mar 4, 2019

Thnakyou.

By ShanQiu

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May 11, 2019

Not bad~

By raul

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Aug 1, 2024

Nice!

By Amarzaya

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Mar 4, 2020

liked

By Emmanuel O

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Jan 19, 2020

Great

By OMAR A P G

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Aug 18, 2025

Nice

By Om D G

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Jan 15, 2025

nice

By Oluwamakinde I

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Oct 6, 2024

good

By Mon P

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Apr 8, 2024

good

By GOURAB G

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Aug 27, 2023

good

By Mohammad A

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Nov 13, 2022

good

By Lizeth C

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May 1, 2022

good

By Raja M N

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Jul 7, 2021

good

By Muhammad S A

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Oct 14, 2020

good

By Shone G

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Jul 22, 2020

good

By Pagadala G s

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May 2, 2020

Good

By G V

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Mar 10, 2020

good

By Satishkumar M

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Jan 4, 2020

By Akhil K

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May 14, 2019

Good