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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
17,734 ratings
2,181 reviews

About the Course

Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand. This course has one purpose, and that 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 tackling a data science problem. - The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment. - How data scientists think!...

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!

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1726 - 1750 of 2,191 Reviews for Data Science Methodology

By Sibusiso T

Dec 5, 2019

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

By Sathiya P

Aug 3, 2019

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

By Mohitkumar R

Nov 16, 2018

Great knowledge to methdology and data science thinking.

By Maxim V

Oct 16, 2018

actually not useful for anyone who did research projects

By Yugal M

Apr 26, 2020

The case study used was little bit tough to understand.

By Md M S

Jan 10, 2020

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

By ZOUZOU K F R

Apr 24, 2021

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

By Ajay M

Nov 25, 2019

Great Explanation, Could have one more Test case study

By Pratheek A

Jun 3, 2019

More examples are required regarding data methodology.

By Jack Z L

Nov 18, 2020

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

By Pritam D

Jun 11, 2019

One peer gave me fewer points in my final assignment.

By Srinivasa R S R

Feb 5, 2020

Good course, concepts where presented in proper way.

By Spataru N

Oct 9, 2018

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

By Lawrence A

Apr 26, 2020

the difficulty level is just ok as well as the pace

By Thomas L

Mar 21, 2020

there is some issues using the Jupyterlab sometimes

By HoangVan N

Mar 3, 2020

Goods thing for everyone need improve your carreer.

By Usman S

Aug 25, 2019

i think going into more depth would have been great

By TATENDA Y G

Feb 10, 2019

Heavy

Am confident to say am a "Confident Novice DS"

By xumin C

Dec 20, 2018

The Course clarified the procedure of data science.

By Redi S

Apr 30, 2018

great to start my process learning of data science

By Iddrisu R

Mar 20, 2022

Good explanations with indepth llustillustrations

By Omar F

Apr 16, 2020

Need more explaining of the analytical tools used

By Md A H

Oct 7, 2019

Please make it little bit more easier and slower.

By Piyush C

May 31, 2019

There Should be more description on methodologies

By Pankaj K G

Jun 30, 2020

this course includes a lot of conceptual topics.