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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A bit more complex than what I would have hoped, but the material is still digestible. I think this course could be improve if the lecturer slow down a bit and spend more time on each topic

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This was a clear and concise overview of the methodology and using the case study really helped (although sometimes it got a bit advanced considering this comes before actually learning models).

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2026 - 2050 of 2,557 Reviews for Data Science Methodology

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"

By Xumin A

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Dec 20, 2018

The Course clarified the procedure of data science.

By M T B A

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Oct 29, 2023

learn lot of thing from it very effective course ,

By Redi S

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Apr 30, 2018

great to start my process learning of data science

By Jayanthi P

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Nov 6, 2022

Find it very good. Narration can be more precuse,

By Iddrisu R

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Mar 20, 2022

Good explanations with indepth llustillustrations

By Omar F

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Apr 16, 2020

Need more explaining of the analytical tools used

By Md A H

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Oct 7, 2019

Please make it little bit more easier and slower.

By Piyush C

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May 31, 2019

There Should be more description on methodologies

By Pankaj K G

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Jun 30, 2020

this course includes a lot of conceptual topics.

By Mehregan K

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Mar 28, 2020

good content but quizzez have more than 1 answer