Final Answer:
They both focus on the collection and storage of data (Option A)
Explanation:
In the realm of data science and big data, the statement that is not true is that both focus on the collection and storage of data. While it is correct that both fields involve the analysis of large datasets (option 1), require knowledge of programming and statistical analysis (option 2), and involve the use of machine learning algorithms (option 3), the primary distinction lies in their focus on data collection and storage.
Data science is more concerned with extracting meaningful insights from data through analysis, interpretation, and presentation. It encompasses a broader spectrum, including data analysis, visualization, and interpretation to inform decision-making. On the other hand, big data specifically addresses the challenges associated with processing and managing massive volumes of data, emphasizing the infrastructure and technologies needed to handle data at scale.
While both fields may involve data collection and storage to some extent, it is not their primary focus. Data science emphasizes the entire data lifecycle, including extraction, transformation, loading (ETL), and analysis, while big data focuses on the efficient handling of massive datasets. Therefore, option 4 is the correct choice as the statement that doesn't align with the nature and focus of these fields. (Option A)