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.
Evaluation
レビュー
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.
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.
In this module, you will learn what it means to understand data, and prepare or clean data. You will also lean about the purpose of data modeling and some characteristics of the modeling process. Finally, through a lab session, you will learn how to complete the Data Understanding and the Data Preparation stages as well as the Modeling and the Model Evaluation stages pertaining to any data science problem.
講師
Alex Aklson
Ph.D., Data Scientist
Polong Lin
Data Scientist
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