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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,367 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

AG

May 13, 2019

This is a proper course which will make you to understand each and every stage of Data science methodology. Lectures are well enough to make you think as a data scientist. Thank you fr this course :)

JM

Feb 26, 2020

Very informative step-by-step guide of how to create a data science project. Course presents concepts in an engaging way and the quizzes and assignments helped in understanding the overall material.

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2351 - 2375 of 2,569 Reviews for Data Science Methodology

By Cornea D A

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Sep 12, 2019

Some summarized text support would have been useful for the final assignment.

By Hassan B

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Aug 20, 2019

It's good course but still need more explanations and examples to be clearer.

By amir s

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Jun 7, 2019

The assignment is not very clear. The example had better to be more iterative

By Joaquin M S

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Mar 1, 2023

It seemed a bit basic, so there´s a lot the student has to dig by themselves

By frocchio@hotmail.it

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Nov 1, 2018

a slight bit more technical than the previous two courses. Getting there ..

By Ulvi S

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Jul 24, 2021

It could be prepared much easier. It is hard to understand for non-natives

By Hiral M

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May 1, 2020

Examples and case study in video of CHF was a bit difficult to understand.

By Minsung K

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Nov 1, 2021

Personally, very dull course material; please generate me a certificate.

By Yadder A

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Dec 7, 2019

I think that should have more information. And quizzes should be harder.

By Taimore I A

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Jul 30, 2019

Case study should be covered in more detail. The other content is good.

By Nidhi K

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Jun 13, 2022

This module would be more beneficial after learning basic ML concepts.

By Harshit k s

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Jun 12, 2020

The case study was not that good, some good examples need to be added.

By Ariel E

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Jan 31, 2019

I'd like to see exercises where we can practice the methodology phases

By Deshan G

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Jun 21, 2023

This course was a bit hard and the explanations were a bit difficult

By Akalah F

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Oct 7, 2019

the video lectures was really fast making it difficult to understand

By Philipp K

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Jun 12, 2019

too much information on slides. Use more pictures for visualization.

By Hareesh T

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Jan 31, 2019

An introductory overview of what Data Science actually is meant for.

By Vasudev S

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Jun 7, 2020

Make this course more intuitive rather than being just all theory.

By Gokul N

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Apr 18, 2020

Too theortical course ,could have an eaiser case study to explain

By Mohammad Q

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Aug 21, 2019

Good Methodolgy but I feel like I need more explaination about it

By Paren A

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Mar 9, 2019

Nice overview, but brushed over far too many topics very briefly.

By Harishankar

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Apr 11, 2020

The video narration is so boxy type, and need to be interactive.

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