To Make an Impact in Any Industry, Domain Knowledge Is Critical

My interest in data science first surfaced as a graduate student at MIT, during the preprocessing of sensor data from experiments I conducted on ships at the Towing Tank laboratory around 2014. Although at that time I was not formally introduced to data science as it is today, the analyses I did then were essentially time-series analyses. Perhaps because the focus was more on scientifically investigating the performance of offshore structures and ships in ocaean waves, I did not realize how much of the fundamentals of data science I have built capacity in already. This really helped smoothen my journey in formalizing my data science skills when I started taking courses in Udemy and Cousera. For example, I wrote several programs for data processing and analysis in MATLAB for about 5 years, which made it relatively easy for me to learn Python.