Data analysis makes more use of statistical knowledge, makes descriptive and exploratory analysis of the original data, finds valuable information from the results, and evaluates and corrects the current situation. Data mining needs not only statistical knowledge, but also machine learning knowledge, and the concept of model will be involved here. Data mining has a deeper discovery of unknown laws and values.
Data analysis is a tool to transform data into information, while data mining is a tool to transform information into cognition. If we want to extract some rules from data (that is, cognition), we often need to combine data analysis with data mining.
If you want to study data mining and data analysis systematically, you can learn more about CDA related courses. CDA data analyst certification course focuses on scenario-based teaching, and the project mobilizes students' practical ability of data mining. In the business scene designed by the lecturer, the lecturer keeps asking business questions, and then the students think and operate to solve the problems step by step, helping the students to master the truly excellent data mining ability to solve business problems. This teaching method can mobilize students' independent thinking and subjective initiative, and the skills and knowledge mastered by students can be quickly transformed into skills that they can use flexibly, and they can play freely in different situations. Click to make an appointment for a free audition class.