I am a graduate student currently studying a Masters Degree in Quantitative Finance with academic and professional experience in applied probability and statistics. My Bachelors in Statistics & Economics has equipped me with the necessary skills required to succeed in my current role as a sports trader where probability is the basis of nearly every aspect of my work!
During my time at universit...
I am a graduate student currently studying a Masters Degree in Quantitative Finance with academic and professional experience in applied probability and statistics. My Bachelors in Statistics & Economics has equipped me with the necessary skills required to succeed in my current role as a sports trader where probability is the basis of nearly every aspect of my work!
During my time at university I have mentored and assisted numerous students that have found statistics to be a real problem area in their studies, particularly those pursuing qualifications that aren't particularly mathematics-heavy by nature. The beauty of statistics is that it can be applied to nearly every possible field of study, from financial markets and investing to medical research and sports analysis.
My approach to teaching any branch of mathematics is to first begin with the very basics of the problem at hand. There is absolutely no point in simply giving a student the answer to their homework question / assignment / project without giving them the tools to address the question critically and work things out on their own. The ability to solve problems and process information is a skill not only applicable to statistics but nearly every possible aspect of your academic and professional career.
A stigma currently exists amongst students where statistics is often perceived as a daunting and complicated subject. However, I believe this is usually a result of poor teaching (something which I have experienced myself) rather than the subject itself. Once a student obtains a good grasp of the very basics, most if not all "advanced" forms of statistics, such as statistical machine learning or multivariate analysis, merely become adaptations of basic probability theory and descriptive statistics such as mean and variance calculations.