GoPubby - Data Science - A Promising Discipline in the 21st Century

Data Science is not only a well paid career nowadays, but also evolves into the architecture of lots of other disciplines. As an engineer in traditional civil and environmental engineering disciplines, I recently started to learn data science because my job needs it as well. In many engineering applications, decisions need to made, not by human any more, but by machine. Think about a simple application: should a disinfectant dosing pump be turned on or turned off for water disinfection at a water treatment plant? During this COVID-19 crisis, the management at the plant might say, let's keep the pump running so that there will be enough disinfectant to kill the virus. However, too much disinfectant dosing can also have side effects on human health, which increases the amount of the carcinogenic disinfection byproducts. This is a kind of decision that grows complicated and needs backup based on data analysis. Machine learning is a branch of data science that uses techniques of regression, supervised clustering, etc, to predict the future, or the consequences, in this case, what will happen if the pump is turned on and what will happen if it is turned off. A wise decision is therefore can be made, which can ensure public health and even save people's lives. I could give millions of other examples that depend on all kinds of correct decisions made by machine based on the processing of tons of environmental data. The Tesla autopilot and the recent success of SpaceX rocket launch are one of them. Python - a coding tool, is indispensable for data science learning and applications, and actually falls into the discipline of data science itself and can aid learning. The following image shows the relationship of data science with other closely-related disciplines. You will know your hard-working direction if you want a well paid job and good career!

Data Science - A Promising Discipline in the 21st Century

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