Why Data Science ?

Proclaimed to be the “sexiest job of the 21st century” by the Harvard Business Review, tremendous growth has been seen lately in the field of data science. There are great prospects for that peculiar type of programmer. According to the McKinsey Global Institute, the demand for talented analysts will exceed the supply by 50-60%.

“By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.”

-McKinsey Global Institute

Source: https://datajobs.com/big-data-jobs-recruiting

Someone might ask, “Why Data Science ?”, “Why all this hype ?”, “Data has always been there”. True, nothing really changed in that perspective. One of the main aspects that had a huge impact is computational power. Having more efficient CPU’s and GPU’s pushed us even further. Now anyone can wrangle and extrapolate from data with his/her laptop.

Data is growing each and everyday at an exponential pace, one of the main source of that incredible growth are IOT’s, also called “Internet of things”. That encompasses mobile phones, fridges, cameras, basically anything that is connected to the internet and generating information.

According to the IDC, data is expected to grow by a factor of 10 by 2020, which is quite incredible if we look back a decade ago.

Who would have imagined that at the beginning of the century ?

“From 2013 to 2020, the digital universe will grow by a factor of 10 – from 4.4 trillion gigabytes to 44 trillion. It more than doubles every two years.”

-International Data Corporation (IDC)

Source: https://www.emc.com/leadership/digital-universe/2014iview/executive-summary.htm

Each and everyone one of us are contributing directly to that sea of information. More data is proportionate to more scatteredness. The demand for more specialized programmers having a strong base understanding of statistics and linear algebra is also growing. There is a saying which goes, “A data scientist is better in statistics than a programmer and better in programming than a statistician”. That claim is quite relevant considering the convergence of both applied mathematics and programming.

Amongst the great features that distinguishes data science from other programming branches is it’s unique multidisciplinary facet, data analysis is extensively used in many fields, therefore impacting our lives everyday. It is helping us find new solutions to the problems we are facing in the world today. That high on data also led to many scientific breakthroughs in recent years, especially in health.

If your thinking about jumping in, there are many ways to get yourself started in data science beside attending an expensive university program. Aside the autodidactic way, there are many online courses available, what’s great about them is that they’re self-paced, affordable and beginner friendly.

It is also a great programming niche to jump right in for someone looking for a career transition. Many data experts are coming from untraditional backgrounds, therefore bringing with them knowledge of their previous field, adding up to the diverseness of expertise. Data science is without any doubt a career path to consider for anyone looking forward to “break into tech”, especially in this day and age with the data surge we are witnessing.


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