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Data Science Methodology, IBM

1,548 calificaciones
154 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 NK

Jan 03, 2019

The content covered on this module is sufficient for a beginner to get and idea of what Data Science Methodology is and how to implement it in real world scenarios.

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157 revisiones

por Michael Golden

Jan 18, 2019

Very clear and to the point - much appreciated!

por Huzaifah Saleem

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.

por Praveen kumar

Jan 18, 2019

Good course to know all the processes for approaching towards your machine learning model.

por Tomola Olaitan

Jan 18, 2019

Very informative and educating.

por Patrícia Passos Amaral

Jan 17, 2019

Maravilhoso! Quem trabalha com análises e/ou relatórios já tem uma ideia dos passos, mas ainda assim é válido porque estrutura conhecimento, entra mais a fundo nas etapas e traz muitas informações interessantes. Pra quem não trabalha pode conhecer como fazer uma análise desde o início.

por Joseph Okere

Jan 17, 2019

Very informative!

por Nicklas Norrick

Jan 17, 2019

A good overview of the scientific method applied to data science.

por Sparsh Kapoor

Jan 16, 2019

Please do check the submission fast.

por Manivannan Durairaj

Jan 16, 2019

This course is very much interesting and course metrical is good. Also motivating the students by providing practical Lab facility and exercises

por Johannes

Jan 16, 2019

this course should be a little later in the IBM sylalbis