IBM Data Science Practice Test

How does the second grouping of data science methodology differ from the first grouping?

1. The first grouping is iterative

2. The second grouping addresses uncovering insights

3. The first grouping only addresses descriptive analytics

4. The second grouping is actual data science

The correct answer is: The first grouping only addresses descriptive analytics

The distinction between the two groupings of data science methodology primarily lies in the types of analytics they focus on. The second grouping encompasses a broader range of methodologies that go beyond merely describing what has happened (descriptive analytics). While descriptive analytics is concerned with summarizing historical data to understand trends or patterns, the second grouping emphasizes the process of uncovering insights from data, often involving predictive or prescriptive analytics. Descriptive analytics provides past information but does not necessarily guide decision-making for future scenarios. In contrast, the second grouping typically includes approaches that allow data scientists to make predictions about future events or behaviors based on historical data. By focusing on uncovering insights, this grouping enables organizations to not only understand their data but also leverage it to drive strategic decisions, making it more aligned with actionable outcomes in data science. Therefore, the primary difference is that the first grouping tends to focus solely on descriptive aspects, whereas the second grouping expands into more impactful techniques that enhance decision-making capabilities in organizations.