Data scientists may use either a “top-down approach or a bottom-up” approach to data science. These two approaches refer to:

Question: Data scientists may use either a “top-down” approach or a “bottom-up” approach to data science. These two approaches refer to:

  1. “Top-down” approach – the data, when sorted, is modeled from the “top” of the data towards the “bottom”. “Bottom-up” approach – the data is modeled from the “bottom” of the data to the “top”.
  2. “Top-down” approach – models are fit before the data is explored. “Bottom-up” approach – data is explored, and then a model is fit.
  3. “Top-down” approach – first defining a business problem then analyzing the data to find a solution. “Bottom-up” approach – starting with the data, and then coming up with a business problem based on the data.
  4. “Top-down” approach – using massively parallel, warehouses with huge data volumes as the data source. “Bottom-up” approach – using a sample of small data before using large data.
  5. All of the above.

Correct Answers: 3

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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