I believe that the most important skill that a student has to develop prior university is self-learning and the ability to cope with mistakes. To make a student self-learner I focus on three things: fundamentals, connections and interest. I try to teach fundamentals through a discussion. I try to make the student ask questions rather than listen. Once all mysteries are clear, repetition is the key. Once fundamentals are crystal, I try to teach a student how to connect bits of knowledge to answer a question. A narrative is always easier to work with than random memorised sentences. Once the student can make connections, one can spark interest. Using real-world examples I try to show the student how their knowledge can be applied. How logic connections they make can answer hot topics in science! Finally, I put a lot of attention on dealing with mistakes. It is easy to be top of the class in a school. However, once students go to university, the level of studies sky-rockets. Mistakes are unavoidable and for some that can be devastating. I do my best to show the student that mistakes are really opportunities to improve. Everyone makes them and they should not discourage them.

Like most students, you probably received little to no education in statistics and now your future hangs on the quality of your statistical analyses... Fret not! Together we can find the significance and leave a lasting impression on your supervisors! Furthermore, the obtained knowledge will without a doubt help you in future. This class focuses on boosting your projects through practical data analysis in R software.