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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’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

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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1726 - 1750 of 2,658 Reviews for Data Science Methodology

By SOMOUD S B S A S S B S A

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Jan 30, 2023

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By VijayKumar H

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Dec 19, 2022

good

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Jul 28, 2022

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Jul 28, 2022

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Apr 26, 2022

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Feb 16, 2022

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Oct 27, 2021

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Oct 5, 2021

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Sep 23, 2021

Good

By Sonu K

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Jun 25, 2021

nice

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Apr 24, 2021

good

By NARENDRA K G

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Aug 20, 2020

nice

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Jul 11, 2020

good

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Jul 9, 2020

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Jun 28, 2020

best

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Jun 12, 2020

good

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Jun 5, 2020

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Jun 1, 2020

GOOD

By crazy v V

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May 4, 2020

good

By 西村太希

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May 2, 2020

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By Naveen S P

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Apr 23, 2020

BEST

By pawan s

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Apr 11, 2020

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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 11, 2020

Good