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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2576 - 2600 of 2,666 Reviews for Data Science Methodology

By Paolo F

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May 23, 2020

Too confusing. The separation between the sections are not explained in a good way

By Anant S

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Mar 10, 2020

Not very useful. You don't gain any practical skills after completing this course.

By David O

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May 25, 2020

The case study used in this course is really difficult to understand and follow.

By Amine J

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Feb 2, 2020

Not enough examples and the videos were running fast and not really explicative

By Dan L

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May 4, 2019

Very dull course, didn't learn very much and the assignments are very tedious.

By Sinh N

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Feb 3, 2020

video clips of IBM Watson interface need up to date with its current version

By Monica K

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Jun 29, 2023

Content is fine. It would be easier to follow if it had more live parts

By Seth C

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Dec 29, 2023

The material was not well organized or presented, which was ironic.

By Gaurav D

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Mar 16, 2020

The notebooks linked to the course aren't available all the time

By HAIDER M

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Oct 31, 2022

Too much advance and difficult to understand for a beginner.

By Marianne H

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Nov 26, 2019

Course was ok but final assignment left a lot to be desired.

By Ahmad S

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Jun 9, 2020

no enough information in this course. I dont recommend it

By Ashish D

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May 22, 2019

The videos are boring and but they are very informative

By Ashwin D

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Apr 26, 2020

Expected more from an IBM professional certificate.

By Desabandhu P

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Mar 26, 2023

Content is not impressive. Theoretical and boring.

By Ray Z

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May 28, 2021

please dont put into peer review into this course

By Toan N

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Feb 25, 2020

It's too general and difficult for me to absorb.

By Prabhat S

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Dec 29, 2021

Very less content, needed more detailed approac

By Gaurav A

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Sep 27, 2023

Voice not clear, Not explain end to the point

By Nguyễn T

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Feb 26, 2020

Too much theory there.

Assignment was useless.

By saira r

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May 30, 2020

Poorly designed course on a conceptual level.

By Hossein M

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Jan 30, 2020

Descriptions are too short and not in-depth.

By Sivaram D

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Dec 19, 2019

The mechanically voiced videos are not good.

By Chiara P M

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May 18, 2019

a bit boring but overall a useful overview

By Hellman O

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Oct 1, 2019

The course is very basic and boring.