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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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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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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2476 - 2500 of 2,557 Reviews for Data Science Methodology

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 27, 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.

By Tolani B

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May 20, 2019

the presentation is a bit robotic

By Wayne W M

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Aug 14, 2019

Found it challenging to follow

By Angene B

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Feb 2, 2020

Find it to be a bit boring.

By Apurv G

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Mar 8, 2020

Very Theoretical course.

By Prayag P

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Jul 14, 2020

Not very explanatory !

By Tobias W

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Oct 23, 2019

Way too theoretical.