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Data Science Methodology, IBM

4.6
3,509 ratings
334 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 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.

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327 Reviews

By Jason Lee

Apr 23, 2019

Good intro, but I felt the introduction to python might have been better before this subject. Could have spent more time on the Labs, seemed more complicated if you didn't have any background in coding.

By Matthew Hurst

Apr 23, 2019

This course teaches you some basics, but if you haven't been exposed to data science it is a good foundation.

By liushuang

Apr 23, 2019

the methodology is very useful.

By Dhananjay Vyavahare

Apr 23, 2019

Good Course

By Matthew Allyn

Apr 23, 2019

Overall a solid course with a good overview of many data science concepts. Some of the exercises need to be updated to reflect the current IBM Cloud tooling.

By Siddhartha Patra

Apr 21, 2019

Very short and filled with too much jargons. A much simpler case study would have been great instead of deep diving into the world of Life Science & Healthcare

By Yi Cheng

Apr 21, 2019

Not very useful tbh

By Nicholas J Feliccia

Apr 20, 2019

Very good overview of the process.

By manpreet

Apr 19, 2019

GREAT

By Adarsh Subramaniam

Apr 19, 2019

Boring