Data wrangling is the process of transforming raw data into easily understandable formats and organizing sets into a single structure for further processing.
Data mining is the process of transforming large batches of raw data into usable information. We mine data to uncover insights that lead to data-driven decisions.
The words likelihood and probability are often used interchangeably, but they actually refer to two distinct types of measurement. Our expert explains the difference in detail here.
