9月17日，图书馆数据素养系列课程之“零基础玩转Power BI可视化分析”培训成功举办，吸引了众多对数据分析感兴趣的读者踊跃参与。

On September 17, the " Based Mastery of Power BI Visual Analysis" training session, part of the library's Data Literacy Series, was held successfully，attracting numerous readers that interested in data analysis.

本次培训由图书馆用户服务部的吴孙若老师主讲。课程设计紧扣 “零基础” 需求，以循序渐进的方式，带领学员系统掌握 Power BI 全流程操作：从不同来源的数据导入技巧、智能清洗与异常值处理，到数据建模与深度分析，再到动态交互图表制作与专业报告输出，每一个环节均搭配实例演示与实时操作指导，确保学员能快速上手。同时，课程还创新性融入 AI 协作内容，指导学员体验完整的 AI 辅助分析流程：让 AI 协助定义核心业务指标、设计契合需求的可视化方案，甚至自动生成复杂的 DAX 公式，帮助学员突破技术瓶颈，打造高效的数据分析工作流，切实提升数据处理与成果呈现能力。

This training session was delivered by Ms. Sunruo Wu from the Library User Services Division.  Tailored to the needs of "zero-basis" learners, the course took a step-by-step approach to guide participants in systematically mastering the entire Power BI workflow: from data import techniques from different sources, intelligent cleaning and outlier handling, to data modeling and in-depth analysis, and finally to the creation of dynamic interactive charts and the output of professional reports. Each link was accompanied by case demonstrations and real-time operation guidance to ensure that participants could get started quickly. Additionally, the course innovatively integrated AI collaboration content, guiding participants to experience a complete AI-assisted analysis process: letting AI help define core business indicators, design visualization solutions that meet needs, and even automatically generate complex DAX formulas. This helped participants break through technical bottlenecks, build an efficient data analysis workflow, and effectively improve their data processing and result presentation capabilities.

参与培训的学员们纷纷反馈，此次课程内容 “干货满满”，不仅填补了自身在 Power BI 工具使用上的知识空白，更拓宽了数据分析领域的视野，将理论与实践紧密结合的教学模式，让大家能直接将所学技能应用到学术研究、工作汇报等实际场景中，有效提升了数据分析实战能力。未来，图书馆将推出更多优质的数据素养培训，助力读者在学术研究与职业发展道路上不断前行。

The students gave highly positive feedback on the course, stating that the course was "packed with practical content". It not only filled their knowledge gaps in using the Power BI tool but also broadened their horizons in the field of data analysis. The teaching model that closely combined theory and practice allowed everyone to directly apply the learned skills to practical scenarios such as academic research and work reports, effectively improving their practical data analysis capabilities. In the future, the library will continue to offer more practical courses aimed at improving students' academic and professional skills.