Data analytics is often confused with one more term – data mining. In fact, data mining and data analytics are different steps of any project that wants to call itself ‘data-driven’.Data mining comes first. It describes the procedure of uncovering useful patterns in a dataset or many datasets. The amount of data you have to go through to find something you need can be enormous, that’s why the process is called ‘mining’ ― it’s like looking for a diamond in solid rock.Data analytics is the next step of working with data. Analysts need to remove redundant data, clean it, and transform the dataset to reveal valuable insights.