What better way to start my first blog post on Data Science than by saying ‘Hello World!’…:)
On this blog I can promise you some straight and upfront thoughts on my experience with Data Science, who I think are worth following as well as experiments and thoughts I’ve had in the field of Data Science. So without further ado, shall we begin?
All opinions from this point are my own and do no represent any of the firms I have worked or work for currently.
So, for those that are unfamiliar to Data Science as an area I’d like to get one thing straight…IT IS NOT NEW! (people who say this are wrong in my eyes) Whilst the history of Google trends only starts in 2004 – Google Trends – Data Science
And from the image above it’s clear an upward trend begins in later 2012 the work that is the backing behind Data Science (i.e. Statistics) has been around for many many decades before that. Statistics is the powerhouse behind all successful data science projects and products and with the recent advances in cloud computing and sheer amount of data collected today it has supercharged the use of statistics and computer science (i.e. programming and architecture) for the provision of insight, classification, prediction, natural language processing, artificial intelligence and everything in between.
So why is Data Science being deemed the “Sexiest job of the 21st century”? Well, clearly it’s the numbers and pie charts, right? Or maybe not. I actually don’t gel too well with this phrase. I don’t think it’s the sexiest job of the 21st century, however, I do think what is possible with Data Science is incredible. There are not many jobs that with less than 50-100 lines of Python code can you read the true innards of an organisation and even go further to carry out prediction with some level of confidence (bad puns are given for free)
For now I ask you, what is your interest in Data Science/Analytics? For me having true purpose and an interest in something are the most powerful things to have and use. If you know these, have access to data and what kind of questions you are looking to answer you’re well on your way!