Learning data mining can vary in difficulty depending on factors like prior knowledge, educational background, and experience with data analysis and programming. Proficiency in programming languages such as Python or R, as well as understanding mathematical and statistical concepts, is often required. Acquiring these technical skills may take time and effort, but having domain knowledge in the relevant field can be beneficial. Further, new AutoML tools streamline the process of creating machine learning models.