Based on SWOT analysis, this paper combines data mining algorithms to analyze the quality of preschool education curriculum Civics and propose corresponding strategies. First, the internal and external strengths, weaknesses, opportunities, and threats to the quality of preschool education curriculum Civics and Politics are identified through SWOT analysis. Then, data mining algorithms are used to extract numerical attribute features and categorical attributes, and adaptive optimization methods are used to derive adaptive weighted edge vectors to obtain the probability density function of the quality of course ideology. Finally, the study found that the overall satisfaction of teachers and students was more than 70% based on a SWOT analysis. Corresponding countermeasures are proposed to provide an important reference for developing preschool education programs.