We can call 21st century as a time of information. Nowadays one big company generates more information than all companies in the world did 15 years ago. For example in 2000 world produced about 1.5 exabytes while in 2015 we can expect growth up to 135 zettabytes. Why should humanity store all this source of valuable information at the shelf while we can analyze it? In 2017 Google analyzed data from NASA’s Kepler telescope and found new detected multi-planet star system that houses 8 planets of Earth-like conditions. Vancouver’s police uses unique program that analyzed data of break-in criminal activity archived from 2012 to 2015 and every two hours makes decision of where next crime to occur. It reminds me about futuristic Robocop movie. These discoveries can not be achieved without two well-know jobs such as data-science and quantitative analysis. I set primary purpose of my work to make a comparison between them and came to conclusion which one is better to pursue
Introduction.
Here I’ll make intro into jobs, telling how important they are and what makes them difference out of newest jobs in the market.
Then I’ll divide blog into paragraphs each comparing jobs from different point of view.
My next paragraph will compare of how tough to get of each job
Then I’ll compare salary and work benefits. I’ll try to analyze different fields such as finance, tech and insurance
I’ll compare of skills that are necessary to have
Last paragraph will describe of how easy to change jobs and migrate to another company or even to set up a startup.
Conclusion.