Chevron Left
Back to Data Science Methodology

Learner Reviews & Feedback for Data Science Methodology by IBM Skills Network

4.6
stars
18,834 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. Most of the established data scientists follow a similar methodology for solving Data Science problems. In this course you will learn and then apply this methodology that can be used to tackle any Data Science scenario. The purpose of this course is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. Accordingly, in this course, you will learn: - The major steps involved in practicing data science - Forming a business/research problem, collecting, preparing & analyzing data, building a model, deploying a model and understanding the importance of feedback - Apply the 6 stages of the CRISP-DM methodology, the most popular methodology for Data Science and Data Mining problems - How data scientists think! To apply the methodology, you will work on a real-world inspired scenario and work with Jupyter Notebooks using Python to develop hands-on experience....

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 :)

TM

Jun 18, 2021

Very interesting course. It shed a light on what the structured approach really is. It's worth to pause for a moment with every step of the methodology and think how to apply it in real life. Thanks!

Filter by:

1976 - 2000 of 2,347 Reviews for Data Science Methodology

By Aniket K 1

•

Jan 14, 2023

great course

By Ninad M K

•

Jul 6, 2020

It was good.

By Douglas Z

•

Mar 25, 2019

Great course

By Urs H

•

Mar 4, 2019

Good course!

By Obong G

•

Jan 30, 2019

great course

By Mohamad B

•

Jan 6, 2023

it was good

By Prashanth S A

•

Jul 24, 2021

Very useful

By ADU I O

•

Feb 14, 2020

Impressive!

By Prabhandini V

•

Jan 5, 2020

Nice course

By Stephane B

•

Apr 14, 2019

Nice course

By Carla P

•

May 17, 2022

Excellent!

By Jairo S B

•

Jan 26, 2021

Very clear

By Abdulwasiu B

•

Jul 23, 2020

Very good,

By KOUSHIK B

•

Oct 17, 2021

excellent

By Jorge A D M

•

Apr 26, 2020

excelent!

By David L

•

Mar 21, 2020

Thanks!!!

By Abdelhamid G

•

Dec 24, 2019

very good

By Koyya S

•

Mar 4, 2019

Thnakyou.

By ShanQiu

•

May 11, 2019

Not bad~

By Amarzaya

•

Mar 4, 2020

liked

By Emmanuel O

•

Jan 19, 2020

Great

By Mohammad A

•

Nov 13, 2022

good

By Lizeth C

•

May 1, 2022

good

By Raja M N

•

Jul 7, 2021

good

By Muhammad S A

•

Oct 14, 2020

good