Before the rise of machine learning (ML), data science focused on traditional statistical analysis, manual data handling, data visualization, and predictive analytics without ML.
Data science before machine learning primarily used predefined models and rules to derive insights.
Structured datasets are well-organized and stored in a table-like format, typically in relational databases or spreadsheets.
Unstructured data refers to datasets that aren't stored in a structured format, including audio and video datasets.