To fit the needs of every individual, I modify my approaches. I ensure you have a solid foundation before going on to more complex subjects by breaking down concepts into small parts. I intend to use problem-solving exercises, practical applications, and interactive dialogues to make the learning process engaging and relevant. To help with problem-solving skills, I provide comprehensive review sessions, practice tests, and targeted approaches. I'll use an interactive teaching approach to cover important subjects like SPSS while incorporating theoretical underpinnings and real-world applications. I will also discuss statistical software, like SPSS, which is an effective tool for testing hypotheses and analyzing data in machine learning. Discuss the fundamentals of statistics, data processing, and reporting tools in SPSS. Offer real-world examples and practice to improve your skills in statistical analysis. To target the student's areas of strength and areas in need of improvement, I will make sure to evaluate their past knowledge and experience with programming languages and machine learning. Based on this assessment, I will modify the curriculum and teaching methods.