Google Data Analytics Professional Certification Practice Test

Which of the following is NOT a component of data science?

1. Modeling data

2. Managing interactions of data

3. Creating new ways of understanding

4. Storing data in databases

The correct answer is: Storing data in databases

Storing data in databases is an essential practice in managing data rather than a core component of data science itself. Data science primarily focuses on extracting insights and knowledge from data through various methodologies, including statistical analysis, predictive modeling, and data visualization. The other options clearly align with the aims of data science: Modeling data involves applying algorithms and statistical models to analyze and interpret complex data sets. Managing interactions of data refers to how data elements relate to each other and the analysis of those relationships to generate insights. Creating new ways of understanding encompasses the innovative aspect of data science, where practitioners develop new methodologies or approaches to interpret data in fresh ways, thereby contributing to knowledge advancement and informed decision-making. In summary, while storing data is crucial for data management, it is not considered a distinctive component of data science, which revolves more around analysis, interpretation, and applying data to answer questions.