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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
19,899 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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326 - 350 of 2,502 Reviews for Data Science Methodology

By Shubham K

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Apr 30, 2020

Amazingly explained with the help of labs and case studies! Hoping that the subsequent courses will be taught using the similar approach!

By Luis M

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Dec 13, 2019

Very thorough introduction to IBM's data science methodology. The best training I've received on the subject of the data science process.

By Romeo C

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Nov 8, 2019

This course was a great introduction to the iterative process used by data scientists to go from problem to solution. I highly enjoyed it!

By Pedro F

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Aug 11, 2019

More dense, long and difficult than other introductory courses, but needed to secure the understanding of the DS Methodology. Recommended!

By Avoaja U c

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Dec 14, 2018

Great course, gentle introduction to data science methodologies. And all the tools necessary to complete the course are provided for free.

By X Z

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Sep 6, 2021

even if you have some basic knowledge about statistics, from my opionion, it is still meaningful to get some understanding of methodology

By Brahim A

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Mar 16, 2019

Great course! I learned much on data science methodology. Notes, texts, videos and audios were perfect. Thanks for that!

Regards.

Brahim A.

By Ogbonnaya O

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Jul 17, 2020

Excellent. This clearly answers my questions on my thesis. I have been looking which methodology is suitable for data science projects

By Nikhil J

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Mar 30, 2020

Perfectly explained the Data Science methodology. The stages in developing a solution to a Data-centric problem. Definitely recommended!

By Kenneth W

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May 27, 2019

Spending the time needed to fully understand the course material will greatly enhance your experience as a new beginning data scientist.

By Eduardo N d S S

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Jun 28, 2022

The course is didactic, very well explained. But, I presented doubts in Python programming. I hope to resolve them as soon as possible.

By Hashum A

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Mar 17, 2020

i this course is excellent for better understanding how we understand the problem and what steps by doing this we can achieve the goals

By Demetrius M

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Mar 14, 2019

This course is amazing for understanding how to execute a Data Science project! I learned a lot and can't wait to apply the knowledge!

By Augustin C

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Aug 27, 2019

Some notions could be explained a bit more in detailled - or the author should suggest the trainee to refer to applicable litterature

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