Learner Reviews & Feedback for Data Science Methodology by IBM

4.6

stars

20,942 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

Mar 31, 2019

It just totally rebuilds my mind in thinking about how I should approach solving problems. I feel that I'm learning strong framework for an evidence-based logical approach. Just like a consultant.

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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2451 - 2475 of 2,652 Reviews for Data Science Methodology

By Clifton W

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Sep 4, 2023

The case study was difficult to follow and understand at times.

By Michael O

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Apr 15, 2021

A good introduction to some of the basic ideas of data science.

By Wali A

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May 27, 2023

A little boring in begining of course! but intresting at last

By Amanda C

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Dec 18, 2019

This course teaches memorization of a proprietary flow chart.

By Sourabh S

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May 9, 2020

Very Theoritical Course, and honestly a bit boring as well.

By Avinash K

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Feb 19, 2020

Bit confusing - especially the analytical approach chapter.

By Leon W

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Apr 4, 2022

Good structure

I think I spotted 1 content-related mistake

By Veera v p p P

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Sep 8, 2020

Modelling and Evaluation needs more examples for beginners

By HansMomento

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Sep 23, 2025

I hope there are courses with human instructors not AI.

By Cylia C

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Jun 25, 2025

je n 'arrive pas à savoir si j'ai bien validé ce module

By hassan a

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May 17, 2020

Course is more on theory but less on practical approach

By Chris L

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Oct 15, 2019

common sense is rated as professional in this course.

By Aleix C T

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Jul 17, 2019

good content, surprisingly weak delivery and teching

By Stuart B

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Jul 28, 2022

technical difficulties with the ungraded workbook

By Leandro S

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May 8, 2020

More deep treatment for some concepts are necesary

By V S G

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Apr 12, 2020

More real-time cases can help to understand better

By Mohamed K

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Dec 23, 2020

The case study in the video was a bit complicated

By Julio R G

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Jan 17, 2020

Too many terms without explanation as to meaning.

By Harpreet S

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May 28, 2019

please update video with new IBM cloud UI screen

By Quang T Đ

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Dec 2, 2020

More examples for each phase of the methodology

By Gopal P

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Jun 24, 2023

The case study was difficult to understand

By Vladimir R

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Oct 6, 2018

confusing questions about the same subject

By Deepanshu G

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May 17, 2020

content is good but can be more engaging.

By Maria T C

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Dec 28, 2020

Very monotonous videos, boring course.

By Md S A

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Aug 6, 2019

The cognitive classes can be improved.