About Data Science

The 2012 article ‘Data Scientist: The Sexiest Job of the 21st Century’ talks about the emergence of Data Science, with LinkedIn as a case study for how to get started.  Since then, many more companies have realized the value of Data Science, driving up the demand for talent.

The US was projected to need 2,720,000 data professionals by 2020, Until Q1 2020 Data Science roles showed year-on-year growth of 32%.

With the COVID-19 slowdown, companies need to do more with less and ensure that Data Scientists are engaged to predict the unforeseen while maintaining business continuity in face of possible recession. 

As the volume and sources of data has grown, so have the possible applications of analytics and data science. And with the advent of techniques such as machine learning and other AI-based solutions, the demand for access to data will continue to accelerate.

Leading organizations are responding to this acceleration by treating their data as an asset that can help them improve operational performance and identify opportunities for new revenue generation.

However, while certain industry sectors have quickly adopted analytics and data science — namely professional services, finance and insurance — there continues to be room for growth in the use of data in other industries, as well as an untapped usage of the data and analytics talent needed to support analytical efforts.