My teaching methodology is based on the following principles: Hands-on learning: I believe that the best way to learn Statistics, Data Science, and Programming is by doing. In my lessons, I focus on giving students plenty of opportunities to practice writing and running code. Personalized instruction: I tailor my lessons to the individual needs of each student. I assess their prior knowledge and skills at the beginning of each session and adjust my teaching plan accordingly. Positive reinforcement: I believe that it is important to create a positive and supportive learning environment. I encourage my students to ask questions and make mistakes. I also celebrate their successes, no matter how small.