Member Article

Data Scientist - 21st Century’s Most Popular Job Title

It will come as a surprise for you to study how much data science notifies your life everyday. Marketing campaigns, amazon recommendations, siri, uber, sites related to price comparison, image recognition and gaming all are empowered by datascience to varying degrees. And you may have heard about data science all throughout last year and you may not really get a clear picture of what data science really is. It is actually termed as an interdisciplinary field in which systems and processes are utilised to extract insights or knowledge from the data. People who are data scientists gather, handle, interpret and analyze huge volume of data with a variety of applications.

In 2016, Data science is estimated to reach a significant status as large number of organizations are realizing how vital this field is to notifying their decisions in the day-to-day life. In 2016, with the trends in marketing estimating a surge in overall requirement for data-savviness, personalization and advertising, it is evident that data science won’t go anywhere for a long period.

Future of DataScience:

Data science is a comparitively new field, with “data science” term being coined in 2001, but the future of data science looks extremely bright. Today, data science has grown immensely across multiple organizations which include energy, finance, government and travel. Universities recognised the significance of providing programs and courses in data science. Large number of people are looking forward to a career in data science as it promises a long lasting career and highly paid jobs. People are opting for data science training to gain comprehensive knowledge in this field and make a career in this area.

Companies are also looking for data science professionals with complete expertise in it and lot of job opportunities are getting generated day-by-day as all kinds of organizations are strting to use data science. Wanted Analytics conducted a study recently and it specified that only 4 percent of 3,32,000 IT professionals in US at present possess the skills needed to become a data scientist. This shows the demand for data scientists in the present IT market.

The high increment in job opportunities is because organizations now understand the significance of analyzing the data for the growth of the industry. The chief economist of Google, Hal Varian stated that “the capability to take data-to be in a position to interpret it, to process the data, extricate the value from it, to envisage it, to make it understandable for others-that is going to be an extremely vital skill in the years to come..”

The ways in which data science can add value to the business of the organization is empowering officers and management to make better decisions, directing the actions depending on the trends which in turn guide in defining the goals, provoking the staff to adopt best possible practices and put attention on the topics that matter the most, recognizing the opportunities, decision making with evidences that are data-driven and quantifiable and testing these decisions, refining and identification of the targeted audiences and recruitment of most eligible data science professionals for the organization.

Ultimately, data science targets to find and bring out knowledge which is actionable from the data and this can be utilised to make predictions and decisions, not to just describe what is happening. Data science can also applied to many knowledge domains like computing and this can be termed as the most exciting part of data science.

From a very long time, biology, chemistry, physics and other disciplines of natural science were practising their own versions of data science. Definitely, data science can add value to the business of the organization by adding insights and statistics across the work flow.

This was posted in Bdaily's Members' News section by Maria Marcel .