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Data Science Methodology, IBM

4.6
2,086 ratings
209 reviews

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

Top reviews

By 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...

By 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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204 Reviews

By Varun

Feb 14, 2019

Completely helps you understand the methodology employed by John Rollins (IBM), takes the help of a case study to show you how one can practically apply the same.

By Matheus Lin Truglio Alvarenga

Feb 13, 2019

Great course, with a lot of content! This methodology can actually be applied on most problems you will find in life and help to solve them!

By gregorius airlangga

Feb 13, 2019

Great and Simple Courses!

By Gary Thomas

Feb 12, 2019

This is the best program for Data Science, Intro Intermediate. IBM for the W!

By Terry Torrence

Feb 11, 2019

I love this course and I am looking forward to the challenge of my next achievements

By TATENDA Y GATSI

Feb 10, 2019

Heavy

Am confident to say am a "Confident Novice DS"

By Gurnam Singh

Feb 09, 2019

Concepts are explained well..

By Erwin Verhulst

Feb 08, 2019

Wish there was a complete specialization build around this topic

By Yves Godbout

Feb 08, 2019

Very useful and complete

By Tony Owusu Ansah

Feb 07, 2019

Really great course