Recently, a bank in the eastern coastal province has launched a training program aimed at providing talent support for digital transformation. It has introduced the CDA digital talent training standard to improve the data analysis ability of bank employees by cultivating professional talents with data analysis thinking and mastering data analysis tools and methods, and promoting data Application in business decision-making to improve the scientificity and effectiveness of decision-making. This measure not only helps to establish a team of data analysis talents, but also lays a solid talent foundation for the digital construction of the bank.

This training covers a wide range of data analysis technologies and tools, including SQL, Python, etc. The course content is not limited to theoretical knowledge, but also includes practical case analysis and analytical practice projects based on real data. In addition, the training also involves knowledge of statistical methods, management theory, models, etc. to help students better understand business data and make effective interpretation. In order to ensure the effectiveness of training, a variety of teaching methods such as theoretical teaching, practical drills, group discussions and interaction are adopted.

According to the preliminary evaluation results, the employees participating in the training generally reflect that the training is rich and practical, which can quickly improve their data analysis skills. By collecting and sorting out training data and using data analysis tools and methods for comprehensive analysis, it is found that most students have significantly improved their participation, satisfaction and assessment results. Specifically, many employees said that they can now use data analysis tools more effectively to support business decision-making, improving work efficiency and accuracy.

The bank hopes to further improve the data analysis ability of employees through continuous training and practice. In the future, they plan to introduce more advanced data analysis technologies, such as big data acquisition, integration and analysis tools (such as Hadoop, Spark). At the same time, they also hope that employees can master the latest knowledge and skills in time by organizing regular training activities. The ultimate goal is to build a multi-level systematic data analysis talent training plan to ensure that the core competencies of primary, intermediate and senior data analysts are comprehensively improved. It is expected that they can achieve excellent results in the CDA digital talent assessment.