Data analysis uses more statistical knowledge, descriptive and exploratory analysis of the original data, and discovers valuable information from the results to assess and correct the status quo. Data mining uses not only the knowledge of statistics, but also the knowledge of machine learning, where the concept of modeling will be involved. Data mining has a deeper level to discover unknown patterns 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 certain patterns from data (i.e., cognition), we often need to use data analytics in combination with data mining.
When you want to learn data mining and data analysis systematically, you can learn more about CDA's related courses. CDA's data analyst certification courses are based on scenario-based teaching that mobilizes students' practical ability in data mining, and in the business scenarios designed by the instructor, the instructor constantly raises business issues, and then by the students' gradual thinking and operation to solve the problem, to help the students master the really tough data mining ability to solve business problems. The data mining ability to solve business problems. This teaching method can trigger the independent thinking and subjective initiative of students, and the skills and knowledge mastered by the students can be quickly transformed into their own skills that can be flexibly applied, and can be freely utilized in the face of different scenarios. Click to book a free trial lesson.