Which of the following represent the two important characteristics of the data science methodology?

Question: Which of the following represent the two important characteristics of the data science methodology?

  1. It is a highly iterative process and immediately ends when the model is deployed.
  2. It is not an iterative process and it never ends.
  3. It has no endpoint because data collection occurs before identifying the data requirements.
  4. It immediately ends when the model is deployed because no feedback is required.
  5. It is a highly iterative process and it never ends.

Correct Answers: 5

About Introduction to Data Science Methodology 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.

Introduction to Data Science Methodology

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