Recently, students from Hunan Institute of Technology achieved excellent results in the CDA Data Analyst Level 1 Examination, fully demonstrating the university’s teaching achievements in the field of data analysis and the outstanding performance of its students. Students actively participated in this examination, signing up enthusiastically and preparing efficiently. The examination covers eight major sections: an overview of data analysis and professional ethics, data structures, database applications, descriptive statistical analysis, multidimensional data pivot analysis and trend analysis methods, business data analysis, business analysis reports and data visualization reports, and data management. It comprehensively and multi-dimensionally assesses students’ theoretical foundation and practical capabilities in data analysis.

The examination lasts 2 hours. Responding with composure and confidence in the examination room, the students relied on their solid professional knowledge and strong examination skills to achieve a 100% pass rate — far exceeding the average pass rate of the CDA Data Analyst Level 1 Examination. This outstanding achievement is attributed to the students’ diligent study and unremitting efforts, as well as the meticulous organization and guidance provided by the big data faculty during their preparation. Through this examination, the students have taken a solid and strong first step toward becoming data analysts, laying a firm foundation for their future career development. Driven by the digital tide, the CDA Digital Talent Certification offers valuable opportunities for university students. It serves not only as a platform for professional learning and a guide to industry standards, but also as strong support to help students stand out in the field of data analysis. The excellent results achieved by the students are a vivid example of CDA empowering higher education. In the future, CDA will continue to bridge academia and industry, inject momentum into the cultivation of data analysis talents, help more students realize their career aspirations, and embrace the opportunities and challenges of the data era.