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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鈥檒l 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鈥檒l 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

JG

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).

HV

May 17, 2021

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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1576 - 1600 of 2,658 Reviews for Data Science Methodology

By Glenice S

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Nov 16, 2020

Excellent!

By Steve C

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Jul 7, 2020

Very clear

By Jhansi l M

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May 25, 2020

Thanks IBM

By Ifzal A M

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Apr 18, 2020

excellent.

By swasti k

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Mar 7, 2020

Execellent

By 袘邪褌写芯褉卸 袞

鈥�

Feb 13, 2020

Like Like!

By Aleksei E

鈥�

Nov 3, 2019

Excellent!

By 01fe18bec055

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Sep 11, 2019

Very nice!

By S茅rgio 脕 d A

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May 24, 2019

Fantastic!

By Mahesh A

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Jan 2, 2019

Nice topic

By Khadija S

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Dec 31, 2018

Excellent!

By Ahmed T

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Nov 24, 2018

Amazing :)

By Gregory R G J

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Oct 24, 2018

Thumbs Up!

By ANIL K G

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Aug 4, 2025

Excellent

By 脕nh T N

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Jul 20, 2025

very good

By Nguyen T

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Aug 2, 2024

very good

By Ali M H

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Sep 4, 2023

very good

By Eswar R T

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Aug 7, 2023

Excellent

By Nibian B A F M

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Jul 14, 2023

Very good

By Alejandro A D

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Jul 7, 2023

Excelente

By Kavishka M

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Jun 29, 2023

Very good

By B霉i 膼 H

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Mar 20, 2023

very nice

By Maram A A

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Jan 19, 2023

thank you

By Deleted A

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Dec 30, 2022

thank you

By Daniela B

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Nov 22, 2022

loved it!