By infoNation's Stuart Coleman and Bogi Szalacsi Many have claimed actuaries and actuarial science should be recognised as the early practitioners and building blocks of modern day data science. After all, the actuarial profession dates back to the 1800's, the dawn of the modern insurance industry.
By Bogi Szalacsi - Senior Associate - infoNation Are you a data scientist wanting to improve your knowledge, or someone who wants to sharpen up on what you already know about data science?
Recent events have highlighted the importance of cyber security. 2017 saw organisations as diverse as Facebook, Equifax, and the NHS suffer large-scale data breaches, highlighting the need for more effective provisions in a number of sectors. Data risks are not solely the concern of larger organisations, either, with an estimated 34% of all 'spear phishing' hacks targeting small business through simple email and spam channels.
As businesses adapt to new cyber security threats, data security training has become a crucial professional asset. Since corporate cyber attacks typically target uninformed employees, businesses are increasingly calling upon their staff to minimize hacking risks.
Data science helps financial services professionals make better decisions The financial services industry is becoming increasingly data-driven. Data is generated with every financial purchase, sale, transfer, and exchange—organisations that are able to most effectively harness the power of this information will be the ones that maintain an edge over their competitors.
Data science training can open up a new world of possibilities for your career The volume of data in the world is estimated to grow at a rate of 40% every year. By 2020, it is expected that the amount of available data will be over 50 times larger than it is today. As organisations around the globe look to take advantage of this exponential explosion in usable, actionable information, experts in data science have become increasingly important.