by Albert Anthony D. Gavino, MBA
Boring as it seems, I am fascinated by how we jump from one career to another.
If you have to track down your career into a linear type of graph, its not really good because it wont give you that many options, the best is to have a non-linear career, entering into all sorts of fields like Management, Statistics, Web Analytics, Behavioral Psychology, Law. These fields will widen your horizons into new types of career. Five years ago, I did not imagine myself going back into statistics but if you put down all your domains, these are somewhat related to each other like web analytics to statistics to web development to research.
What I am saying is graduates should not limit themselves to the traditional type of careers that we have, sometimes we have to cross-sell ourselves with other industries. Cross yourself with a manufacturing industry to a banking industry to an academe type of environment. This will broaden your horizons, your contacts and even broaden opportunities. Career Life is ever changing with the demands of industry, Reading on new type of books gets you ahead and more so will a master's degree or a doctoral degree for that matter. Yes, do not be afraid to get into new things like cloud computing, data mining, predictive modeling. Do not fear of the unknown but get interested to read more on new things, as far as we are learning we get to improve ourselves more and be more open minded to new ideas, new culture, new learnings.
My Non-Linear Career |
What I am saying is graduates should not limit themselves to the traditional type of careers that we have, sometimes we have to cross-sell ourselves with other industries. Cross yourself with a manufacturing industry to a banking industry to an academe type of environment. This will broaden your horizons, your contacts and even broaden opportunities. Career Life is ever changing with the demands of industry, Reading on new type of books gets you ahead and more so will a master's degree or a doctoral degree for that matter. Yes, do not be afraid to get into new things like cloud computing, data mining, predictive modeling. Do not fear of the unknown but get interested to read more on new things, as far as we are learning we get to improve ourselves more and be more open minded to new ideas, new culture, new learnings.
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