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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,480 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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351 - 375 of 2,583 Reviews for Data Science Methodology

By Nagaraj V

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Dec 31, 2023

This course gives an excellent overview of Data Science Methodology. Each step of Data Science methodology is explained very clearly

By Hafiz H

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Sep 26, 2023

some questions need to be check back. some area wrong and sometime in mobile apps, ut gave some error symbol rataher than "<" or ">"

By Fang S

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Oct 25, 2019

Data Science is an interdisciplinary field of management, business, project management, statistics, analytics, and computer science.

By Aina A

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May 11, 2020

Really opens up my mind that methodology is very important and every step in the data science methodology must be well thought out.

By Ana A B

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Apr 23, 2020

Este es un muy buen curso introductorio a la ciencia de datos. Abarca los temas escenciales para la comprensión de una metodología.

By Muhammad R

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Apr 23, 2020

A well designed course for aspiring data scientists. No prior background needed in the field which is the best thing of the course.

By Olamide G

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Mar 6, 2020

I will take this course, over and over again, It really exposed me to real-life practices. Kudos to the instructors and the creator

By Periklis K

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Dec 9, 2019

A great introductory course on Data Science Methodology! Well presented and structured as all the previous for that specialization!

By Mo R

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Oct 28, 2019

This is a highly recommended courses to start building Data Science projects through solving real-world problems across industries.

By Rajeshree S

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Jan 14, 2019

Very helpful in understanding the core steps in data science methodology. it helps you to learn how to think like a data scientist.

By Muthyala S

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Mar 15, 2021

It is extremely important to educate data scientists with modeling. It is the quintessential course to learn. Kudos to tge faculty

By Y. D R P

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May 31, 2020

this process of data science methodology is very useful as critical thinking is needed and be discipline to the flow is necessary.

By Carlos A P

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Sep 7, 2018

Excellent course, the proposed methodology gives you an excellent framework that can be used with both simple and complex projects

By hamad a

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May 1, 2024

Very informative and very well structured. Provides you a guide on how to address different business problems as a data scientist

By Mena M

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May 24, 2020

Awesome explanation of the Methodology and s handsone case dealing with improving hospitals predictive ratings on their patients

By Ilianna A

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Mar 25, 2020

The final assignment was very helpful & practical. I might only give the opportunity for the student to choose his/her own topic.

By Ehsan J

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Feb 12, 2020

Very well explained and hands on experience, Actually challenges you and make you think about the problem you are trying to solve

By Abdullah m

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Sep 20, 2019

Outstanding course it is very good to learn online course by renowned organization and these type of courses also helps in career

By Appala N

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May 3, 2019

While earning Data Science Methodology i was enjoying and able to relate to my work and this has helped me to grow in my carrier

By Hui L O

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Mar 8, 2023

This course is informative and easy to understand for beginners. I really love how concisely the information is presented to me.

By Faiq F

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Oct 8, 2022

Great course for understanding the step wise flow of how a data scientist should proceed to comprehending and solving a problem

By Yoni C

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Apr 19, 2020

This is a wonderful course. Lays out a data science methodology really well! This course is surly to help every day on the job.

By Krit P

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Dec 26, 2019

It explain well with with outsource exercises. I do hope it add more use cases and more external material for helping the course

By Nikhil B

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Sep 20, 2018

Great learning experience and the case studies in the Labs were very helpful in understanding each step of Rollin's Methodology.

By Åžimal Åž

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Dec 16, 2023

I learned how to approach to a real life problem as a data scientist. I learned the steps very well. Thanks for your education.