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

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 :)

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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2026 - 2050 of 2,569 Reviews for Data Science Methodology

By ROBERT R

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Mar 1, 2021

Tough, for my first set of data science courses, but doable.

By 郑上

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Apr 10, 2020

the final exam is not easy,I uploaded it for three times....

By Nirav

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Jun 7, 2019

A common example could be easier to understand for everyone.

By Viet H N

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Mar 27, 2020

The example about medical in videos is hard to understand.

By Jayesh M

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Aug 16, 2019

Use cases could be given from different industry as well.

By Vivek N

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Jul 28, 2019

Language of Presentation was very difficult to understand

By Sibusiso T

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Dec 5, 2019

We can go deeper with more examples and a sample report.

By Sathiya P

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Aug 3, 2019

It was good, but it could have been made slightly simple

By Mohitkumar R

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Nov 16, 2018

Great knowledge to methdology and data science thinking.

By Maxim V

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Oct 16, 2018

actually not useful for anyone who did research projects

By Yugal B M

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Apr 26, 2020

The case study used was little bit tough to understand.

By Md M S

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Jan 10, 2020

Everything was good. But the presentation wasn't clear.

By ZOUZOU K F R

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Apr 24, 2021

Très ravi j'ai appris beaucoup de choses avec ce cours

By Ajay M

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Nov 25, 2019

Great Explanation, Could have one more Test case study

By Pratheek A

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Jun 3, 2019

More examples are required regarding data methodology.

By Jack Z L

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Nov 18, 2020

The case study is a little bit hard for me to follow.

By Pritam D

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Jun 11, 2019

One peer gave me fewer points in my final assignment.

By ROHAN M

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Nov 5, 2023

I think there must be more emphasize on hands on lab

By Srinivasa R S R

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Feb 5, 2020

Good course, concepts where presented in proper way.

By Spataru N

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Oct 9, 2018

Very good course. The case study wasn't my favorite.

By Lawrence A

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Apr 26, 2020

the difficulty level is just ok as well as the pace

By Thomas L

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Mar 21, 2020

there is some issues using the Jupyterlab sometimes

By Nguyễn H V

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Mar 3, 2020

Goods thing for everyone need improve your carreer.

By Usman S

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Aug 25, 2019

i think going into more depth would have been great

By TATENDA Y G

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Feb 10, 2019

Heavy

Am confident to say am a "Confident Novice DS"