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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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.

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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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826 - 850 of 2,557 Reviews for Data Science Methodology

By Carlos J S

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Oct 14, 2018

A very elucidative show of Methodology applied to Data Science.

By Awadhesh K

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Oct 8, 2022

This course was very helpful to me .Than you coursera team.

By Unknown U

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Jun 4, 2020

Please, can I have a certificate of certification?

Thanks,

Elena

By DURUGKAR S R

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Apr 7, 2020

Very Good Experience. Contents and Explanation is really nice.

By Jason P

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Jan 18, 2020

I always learn a LOT with IBM and Coursera! Loved this course!

By JAVLAK M

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Jan 8, 2020

It's very helpful to grasp basic methodologies of data-science

By Kristen P

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Oct 14, 2019

Good level setting. Easy to follow. Great real world examples.

By Pawan

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Aug 7, 2019

awesome way to teach the difficult concepts with case studies.

By Karthik

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Jul 13, 2019

Awesome course. good introduction to data science methodology.

By Hadi S

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Jun 14, 2019

This course helped me to get to know data science methodology.

By Mughni A

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May 12, 2024

this course is the foundation for working as a data scientist

By Raquel M R C

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Jun 5, 2023

Good to know the different steps of data science methodology.

By Darshak K

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Oct 31, 2022

It helps setup a mindset for data science real life problems.

By likhit s

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May 29, 2022

It is very helpful to learn the processes of buliding a model

By Bankole S

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Mar 19, 2022

Very helpful course. I am grateful for the knowledge impacted

By Eduardo L S

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Jan 16, 2021

Good coverage of topics and with good case studies to explain

By Mokaddes H

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Jul 15, 2020

I am very happy about this course. it is very helpful for me

By Sanjeeth N

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Jun 4, 2020

very good course to start learning data science methodologies

By Francky N

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Feb 24, 2020

The lesson has a good structure and the videos are very well.

By André J A

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Dec 31, 2019

Bom curso, dá uma visão geral do que seguir como metodologia.

By Yu M C

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Nov 21, 2019

Great course that gives an overview of the scientific method.

By Shanmuga K S

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Jun 29, 2019

Well crafted course that keeps student hooked on to the topic

By Nurbek D

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Oct 21, 2018

A great course to understand the foundations of data science.

By John B

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Nov 20, 2023

It was a great experience to learn Data Science Methodology.

By Dewi F N

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Jun 14, 2023

the course is so hard, i need to relearn all of this course.