Learner Reviews & Feedback for Data Science Methodology by IBM

4.6

stars

20,992 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

Aug 8, 2018

This is my favourite in the series, the 10 questions to be answered were mind opening. The repetition after every video makes easier for important points to stick to the brain. Very good indeed...

Nov 29, 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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1751 - 1775 of 2,666 Reviews for Data Science Methodology

By Naveen S P

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Apr 23, 2020

BEST

By pawan s

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Apr 11, 2020

....

By Camilo Q

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Apr 4, 2020

Nice

By Pankaj S

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Mar 11, 2020

good

By Priyanka R

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Mar 10, 2020

Good

By Priyansh P

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Feb 26, 2020

good

By KOPPARTHI H H

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Feb 24, 2020

good

By Rushikesh J

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Nov 30, 2019

Best

By Yuliana K

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Sep 7, 2019

exce

By Deleted A

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Sep 4, 2019

good

By Prabhu M

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Aug 31, 2019

good

By Inggriani W

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Jul 17, 2019

none

By SAURABH P

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Jul 1, 2019

Nice

By Senthil R B

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Jun 24, 2019

Good

By Miriam R

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Mar 27, 2019

good

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Dec 15, 2023

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Sep 1, 2019

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By James Y

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Jan 28, 2020