I have been battling this question for quite some time now, and it seems this question has been debated countless times. I am drawn to many subjects in statistics, mostly applied in nature. I especially enjoy statistical computing, graphing, machine learning, and exploratory analysis. I have proven to be a quick learner of intermediate to advanced concepts in statistics, including many of the fundamental concepts related to probability, expectation, and functions. However, I have essentially zero mathematical training beyond college algebra. The only exception is a discrete mathematics course I took in school. I took neither calculus nor (advanced) linear algebra. The word "calculus" still makes me cringe.
According to conventional wisdom, someone like myself with limited mathematical training would make for a below-average student of statistics. But that is not the case. Has anyone else found themselves succeeding in a subject (or other) while lacking the prescribed requisite training? Can anyone share an example where you have thrived as a student/professional of statistics without a background in math/calculus?
According to conventional wisdom, someone like myself with limited mathematical training would make for a below-average student of statistics. But that is not the case. Has anyone else found themselves succeeding in a subject (or other) while lacking the prescribed requisite training? Can anyone share an example where you have thrived as a student/professional of statistics without a background in math/calculus?