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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

DP

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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.

CE

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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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1976 - 2000 of 2,557 Reviews for Data Science Methodology

By EDWIN G

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Oct 29, 2022

Es buen curso, pero podria mejorarse mediante mas ejercicios practicos.

By Fernando S O

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May 10, 2022

Muy interesante y bien explicado. Los ejemplos y aplicaciones son buenos

By Krunal P

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Apr 20, 2022

Great course but need a more example to completely understand the model.

By Mark W

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Nov 30, 2021

Very important course with information that goes beyond technical skill.

By Lorena G

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Jan 28, 2020

I think is necessary to give more text to read and complement the videos

By Mukul K

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Mar 5, 2019

the example demonstrated ( patient readmission ) could have been better.

By Cole M

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Dec 5, 2019

The methodology is described in-depth with adequate video explanations.

By Rudolph N

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May 16, 2019

This seems very redundant but i suppose it helps reinforce the mindset.

By Ahmed M Y G E

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Sep 30, 2023

Many videos don't have subtitles or have one subtitle which is turckey

By Lalit K

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Aug 2, 2022

Course is good but the video in the course could be more elaborative .

By Dipak J

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Apr 24, 2020

Scope for improving Peer Assignment .

Do not see paste and paste twice

By Ala'a N E

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Feb 19, 2019

I had a problem in the case study, it was difficult to understand it .

By Angus C

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Jul 5, 2023

The content is interesting, but can be more interactive in the video

By Ahmed E

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Jan 2, 2021

The course is amazing.

But I didn't like that the course is narrated.

By Mek T

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Jun 3, 2020

Good course but a little short in explanation of some of the topics.

By Aditya S

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Feb 26, 2020

Good course to know the steps for carrying out Data Science projects

By Felipe J

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Feb 25, 2019

Describe very good the phases to resolv a problen using data sciense

By MANIKANDAN T

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Jul 6, 2020

Gives good understanding of step by step processes in Data science.

By Esau H H

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Sep 15, 2019

To the point and the case study really helped get the point across.

By Amit S

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Jul 1, 2019

This course gave me good insight about the data science methodology

By Shuyuan C

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Jun 21, 2019

A good introduction to get useful skills for data analysis process.

By Pragya A

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Jun 17, 2019

more explanation is needed.....example of hospital is not so easy.

By AYUSH A

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Jun 6, 2019

case study in videos is less understandable but in ungraded notes.

By Matthew A

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Apr 1, 2019

Very comprehensive view of methodology with real-world case study.

By ROBERTO I D L R C

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May 22, 2021

I have a bigges scenario of how to manage a Data Science project.