The financial data analysis is the core professional course of finance majors in higher vocational education, integrating finance, data statistics, and computer applications, The course has a high degree of interdisciplinary knowledge, and uses Project Teaching to integrate different subject knowledge. The course adopts a teaching strategy of "self-study—— testing—— consolidation—— practical training—— expansion" as the main line, adopting an integrated teaching system that combines online and offline, and combining the learning characteristics of higher vocational students, integrating on-the-job,course, certification and competition into typical tasks. Through project-based learning in this course, students will master the application of data analysis in scenarios such as securities analysis, personal credit business, corporate credit business, and financial big data risk control. They will be connected to financial business positions such as securities investment advisors, credit specialists, and risk control specialists. Through learning, students will master the basic applications of open source applications such as Excel and Python in data analysis. The leading courses include: Office Automation, Python Fundamentals, Commercial Bank Counter Practice, Securities Investment Practice, and subsequent courses include: Financial Big Data Marketing, Quantitative Investment, Big Data Credit Reporting, etc. 本门课程是高职金融类专业的核心专业课程，本课程融合了金融、数据统计、计算机应用于一体，课程的学科交叉程度高，本课程运用项目为载体融合跨学科知识。课程以“学习——检测——巩固——实训——拓展”为主线的教学策略，采用线上线下相结合的一体化教学体系，结合高职金融专业学生的学情特点进行，将“岗课赛证”融合到典型任务中。 学生通过本课程项目化的学习掌握数据分析在证券分析、个人信贷业务、公司信贷业务、金融大数据风控等场景中的应用，对接了证券投资顾问、信贷专员、风控专员等金融业务岗位，通过学习学生掌握exce、python等开源工具在数据分析中的基础应用。前导课程包括：办公自动化、python基础、商业银行柜台实务、证券投资实务，后续课程包括：金融大数据营销、量化投资、大数据征信等。