Learner Reviews & Feedback for Data Science Methodology by IBM

4.6

stars

21,052 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

Nov 17, 2023

Great course by IBM. Would like instructors to have better communication skills. As the instructor in week 2 and 3 did not have that strong communication skills as compared to week 1 . Overall 8/10

May 16, 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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1676 - 1700 of 2,684 Reviews for Data Science Methodology

By Pitchaiah U

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Jun 23, 2019

Good one

By Nitish K S

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May 19, 2019

all awsm

By Bartosz B

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Mar 13, 2019

Good one

By DARWIN G V

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Jan 8, 2019

great!!!

By Mostafa Y M I

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Aug 1, 2024

Amazing

By yeliz a

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Apr 4, 2024

greattt

By Hugo E

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Jun 9, 2023

awesome

By Математика с М а

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Mar 25, 2022

Thanks!

By Linda N

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Jan 11, 2022

helpful

By Sajil J

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Mar 23, 2021

amazing

By EL-Sayed H E a

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Mar 8, 2021

awesome

By Siu C P R

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Sep 25, 2020

perfect

By Desamsetti S

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Jul 3, 2020

perfect

By hana l

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May 20, 2020

so good

By Manikandan P

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Dec 31, 2019

Perfect

By Ime A

•

Dec 9, 2019

awesome

By Vigneshwaran P

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Feb 18, 2019

Awesome

By Wabangmeren L

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Sep 16, 2018

awesome

By Moath M A N

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Jul 29, 2024

Thanks

By PRAVIN K P

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Jul 23, 2023

Good

By Rodrigo C A

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Jul 6, 2022

Great!

By Abul B

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Feb 26, 2022

thanks

By Victor O

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Dec 13, 2021

Great!

By Dibyendu s

•

Aug 20, 2021

thanks