My teaching approach incorporates a blend of theory and hands-on coding exercises to cater to diverse learning styles. I prioritize creating a supportive and collaborative learning environment where students feel encouraged to explore and experiment with code. A highlight of my teaching repertoire is coding for kids, where I simplify complex coding concepts into engaging and interactive lessons. I firmly believe that nurturing an early interest in coding fosters creativity and critical thinking.

In the realm of statistics, I guide students through the foundations, ensuring a comprehensive understanding that extends to practical applications in data science and analysis. Delving into databases, I illuminate the principles of data organization and management. My expertise extends to leveraging the power of Excel for data manipulation and analysis, providing students with practical skills for real-world scenarios. The exploration of machine learning under my guidance involves a meticulous blend of theory and hands-on applications, ensuring students grasp the complexities of this cutting-edge field.