Data Science Methodology
Description
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.
Course Syllabus
Module 1: From Problem to Approach
- Business Understanding
- Analytic Approach
Module 2: From Requirements to Collection
- Data Requirements
- Data Collection
Module 3: From Understanding to Preparation
- Data Understanding
- Data Preparation
Module 4: From Modeling to Evaluation
- Modeling
- Evaluation
Module 5: From Deployment to Feedback
- Deployment
- Feedback
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