Teaching innovation results based on double helix teaching strategy and ADDIE model- Take the Big Data and visualization course for example

"Big Data Analysis and Visualization" course focuses on innovative teaching concepts and content, integrating key skills of data science and ideological and political education. This course not only focuses on teaching professional knowledge of big data processing, analysis and visualization, but also emphasizes the importance of ideological and political education to cultivate students' social responsibility and ethical concepts in the field of data science. According to the teaching pain points of students' weak data thinking ability, lack of practical project training and ideological and political thinking in this course, this paper proposes to reconstruct the "internal spectrum" and "external spectrum" of course design based on the double helix teaching strategy and ADDIE teaching mode, and the teaching objectives of the course clearly show its content structure and its connection with other fields of data science. Guided by the needs of enterprise talents, with the purpose of applying what we have learned and scenario-based case teaching, we will raise our teaching objectives and thinking to a higher level. Through online and offline mixed teaching, we will conduct reality training, practical projects and practical tests to create a composite, application-oriented and innovative talent training model that Adapts to the new situation and has the latest thinking and skills. Through practical teaching and case studies, students' engineering practice innovation ability has been significantly improved, and they have achieved excellent results in various national and provincial data science competitions, demonstrating the remarkable effect of the course in cultivating students' synthesis ability,Cultivate data science application talents with innovative thinking and cross-border integration.