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Data Science Methodology, IBM

4.6
2,865 calificaciones
280 revisiones

Acerca de este Curso

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! LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Principales revisiones

por SJ

Aug 09, 2018

This is my favourite in the series, the 10 questions to be answered were mind opening. The repetition after every video makes easier for important points to stick to the brain. Very good indeed...

por HS

Jan 18, 2019

The example should be easier than CHF in the videos like the example of cuisines was. The CHF example was good but it was not self explanatory and it might be hard for some people.

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276 revisiones

por Douglas da Silva Zanardi

Mar 25, 2019

Great course

por Kevin Waki

Mar 25, 2019

It is a bit challenging for beginners but totally worth it. Ensure you read listen to the material well.

por Karel Hoppe

Mar 24, 2019

The exam for week 2 was terrible. The questions were way too tricky it was not necessary. Also I only was reviewed by one peer for my final assessment. This was bad because I deserved 100% and they gave me a only "Good" mark on one section probably because they figured out I gave them a "Good" mark on a section which they only did good on. More peer reviews should have been done than just one. I deserved a higher grade.

por Guilherme Pichinelli de Carvalho

Mar 23, 2019

For the case study presented, specially during modeling and evaluation phases, more elaboration would make the course better. Specially during modeling evaluations and ROC.

Also the course being conducted in a recorded slides is not appealing for student engagement. Would be great to have some videos with people explaining, like in the in course 1 of this program.

por MANIK GARG

Mar 22, 2019

well drafted course for beginners.

por Prokopenko Artem

Mar 22, 2019

Maybe better to pass it after other courses to be familier with python, decision threes and machine learning.

por Ivan Ivanov

Mar 21, 2019

Very intuitive course . Thanks for making it possible.

por pankaj kumar

Mar 21, 2019

nice course.

por Muhammad Usman Naseer

Mar 21, 2019

This course teaches you the data science methodology which is very iterative to ensure to get intended answers to your problems. And the amazing thing is that the course really simple and easy to understand.

por Roy Ridinger

Mar 21, 2019

Difficult being able to apply the final test to the complete module objectives. Though it was good foundation, felt it should be split into several workable modules/stages instead of all 10 methodology steps at once.