It makes perfect sense when considering the staggering amount of data generated every minute online (check Domo’s famous infographic Data Never Sleeps 3.0) – Someone has to process it anyway, and who better than the data scientist, with a statistics background, some hacking skills and a sound business sense to gather, clean, analyze, and present his findings based on data (Please check Drew Conway’s Venn Diagram on a more comprehensive definition of data science).Īs Cuba Gooding Jr uttered the infamous “Show me the Money” mantra in Jerry Maguire, Business owners and stakeholders want to see data-based analyses to make data-enhanced decisions but it unfortunately takes more than bit of excel tinkering to sift through terabytes of unstructured and unfiltered data. Demand is exploding, Online trainings have been multiplying across many platform (Coursera, Udacity, edx to name only a few) to try to catch up with the increasing demand! Is Data Science just a fad? Are we starting to see the end of this job market bubble?Īccording to various job boards, not yet! Not for a while at least. However, according to Gartner’s 2015 Hype Cycle for emerging technologies, Machine Learning has now passed the peak of inflated expectations and is now sliding down the through of disillusionment, and so is Big Data (in Gartner’s 2015 Hype Cycle for Business Intelligence and Analytics). The Data Scientist job has even been identified by Glassdoor as the best job in America (as of April 2016). It’s nothing new that Machine Learning and Big Data have been making the headlines for quite some time now, almost half a decade at least.
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