Ever since the inception and easy access to the internet came into play, a huge amount of data is created and deciphered. This whole process or knowledge of understanding, reading and interpreting the data is termed as data science. In the last 50 years, the market has experienced exponential growth in terms of job offers for a data scientist jobs. But had not Data Scientist like DJ Patil and Jeff Hammer bacher, bring ‘data science’ into the limelight, it wouldn’t have been stated as the “sexiest job of the 21st century” by Harvard Business Review. Somewhere down the line, a lot of credit goes to them for popularizing the data science industry.
Traveling back to the time, it was mathematicians John W. Tukey who predicted in 1962 the effect of modern-day electronic computing on data analysis as an empirical science. Today, after 55 years although the concepts vary, the basis remains the same. It was after 1964 when the first desktop -Programma101- was launched in New York’s World Fair that the world sensed the possibility of performing complex and large-scale analyses.
Not much later, IBM launched its first personal computer and following the footsteps was Apple ready with its personal laptop with graphical user interface. While all this new launch took place in and around early 1980’s, it wasn’t until two decades that the data generated from the system was converted into information and knowledge. In the early 2000’s, various academic journals acknowledged the importance of data science and labeled it as an emerging business prospect. In 2005, National Science Board promoted the fact that data scientists can successfully manage a digital data collection. By this time, everyone in the industry started accepting data as a commodity which they could capitalize upon. All said and done, what concerned the most during this period was that there was a dearth of qualified individuals who could analyze the “free and ubiquitous data” present in digital platforms.
And, today in big data has exploded like anything and has covered the whole market. It was at the onset of 2010 when data scientist started getting their dues since significant technological advancement took place. For instance, Apple introduced iPad in January 2010 and in the very same year, we saw the launch of Apple iPhone 4. Basically, this was a period when technology reached the pockets of the consumers, and data was created in a gigantic size and in lightning speed. With faster processing speed, the data spread in the digital nook and corner like a blaze and created a huge mountain of big data. Coming to the year 2017, data scientist have become an invaluable part of any organization and there are an ample number of certification courses available to polish and upgrade a data scientist.