Learner Reviews & Feedback for Data Science Methodology by IBM

4.6

stars

20,241 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

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This course covers the end to end cycle suggested framework that can be useful not only in Data Science but also in other Research Projects that manage information to create and deploy a solution.

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The course is well structured but the case studies were not well elaborated, felt like I was struggling to understand. Also, Data science methodology should be taught after a course in Python.

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1501 - 1525 of 2,557 Reviews for Data Science Methodology

By Liu C

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Mar 2, 2019

very useful

By Sugeng W

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Jun 13, 2024

Bermanfaat

By AbdelRahman E E B

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Dec 24, 2023

ممتازة جدا

By Clara C

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May 27, 2023

Excelente.

By Victor V F

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Jan 21, 2023

It's great

By Saad R

•

Nov 20, 2022

I loved it

By MOHAMMAD A

•

Oct 3, 2021

هف هس لخخي

By Satish w

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Sep 16, 2021

excellent.

By Paulo E

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Aug 25, 2021

Muito bom!

By Sergio A

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Aug 23, 2021

Nice info!

By Diego A M G

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Aug 13, 2021

Excelent ¡

By Glenice S

•

Nov 15, 2020

Excellent!

By Steve C

•

Jul 6, 2020

Very clear

By Jhansi l M

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May 25, 2020

Thanks IBM

By Ifzal A M

•

Apr 18, 2020

excellent.

By swasti k

•

Mar 6, 2020

Execellent

By Батдорж Ж

•

Feb 12, 2020

Like Like!

By Aleksei E

•

Nov 3, 2019

Excellent!

By 01fe18bec055

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Sep 11, 2019

Very nice!

By Sérgio Á d A

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May 23, 2019

Fantastic!

By Mahesh A

•

Jan 1, 2019

Nice topic

By Khadija S

•

Dec 30, 2018

Excellent!

By Ahmed T

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Nov 24, 2018

Amazing :)

By Gregory R G J

•

Oct 24, 2018

Thumbs Up!

By Trong T

•

Aug 1, 2024

very good