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Data Science Methodology, IBM

4.6
3,382 calificaciones
321 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 TX

Apr 01, 2019

It just totally rebuilds my mind in thinking about how I should approach solving problems. I feel that I'm learning strong framework for an evidence-based logical approach. Just like a consultant.

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...

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320 revisiones

por Nicholas J Feliccia

Apr 20, 2019

Very good overview of the process.

por manpreet

Apr 19, 2019

GREAT

por Adarsh Subramaniam

Apr 19, 2019

Boring

por Ivan Morales Duarte

Apr 19, 2019

Excelente curso que explica detalladamente los pasos a seguir para abordar un problema y encontrar su solución.

por Rohit Tilakraj Gupta

Apr 18, 2019

Awesome concept to study.

por Sadiq Saghir Haidar Ghaleb

Apr 18, 2019

A very wonderful course filled with interesting information. I would like to thank IBM as well as the Coursera platform as well as the course Instructors.

por Moray Barclay

Apr 17, 2019

Very good overview of te emd-to-end process. Thought it would be a bit dry but very useful.

por Roshan Pandey

Apr 17, 2019

This could be little bit more in detail. The content and the methodology was introduced but could be more in detail about all the analytical approaches available and why we chose decision trees for the CHF.

por Hardik Patel

Apr 17, 2019

Please improve pedagogy

por Alexandru Stanuta

Apr 17, 2019

Interesting course, although some very "thick" notions. It looses 1 star because of the final assignment, which is very vague and open to all kind of interpretations.