Define data analytics and data science. Are they similar or different? Give a reason.

Data analytics involves examining datasets to draw conclusions about the information they contain. It focuses on interpreting data, identifying patterns, and summarizing findings. Data science, however, is broader and involves using scientific methods, algorithms, and systems to analyze large datasets and extract meaningful insights. While data analytics can be considered a subset of data science, the key difference lies in scope. Data science encompasses the entire process of data collection, cleaning, processing, and modeling, whereas analytics is more focused on interpreting the results to make decisions or predictions.