1, data management. Data collection, enterprise requirements: database access, external data file reading.

Case analysis: Using product information file to demonstrate the data reading function of spss.

2. Correlation and difference analysis. Case study: Correlation and difference analysis of product qualification rate.

3. Linear prediction. Enterprise demand: explore the factors affecting enterprise efficiency and further predict enterprise efficiency.

Case analysis: the influencing factors of product qualification rate and its prediction analysis.

4. Factor analysis. Enterprise demand: we should extract the main factors that affect the efficiency of enterprises and make key investments.

Case study: customer purchasing power information research.

Understanding of data analysis can be found in CDA. Its series of books are based on CDA's standardized learning system, with readers' needs as the starting point, combined with actual cases and business scenarios of enterprises, telling about big data thinking and analysis, which not only meets the learning needs of CDA's data analyst level certification, but also takes into account the hot trends of big data. Currently, there are nearly 20 series of CDA data analysts, and more series are being published.