Today, we live in the age of data (probably Big Data), driven by Internet Economy, Smartphones, and Internet of Things (IoT), and to make sense out of this data, it needs to be understood and analyzed. This job is well-performed with the help of Data Science, and those people who does this are popularly known as Data Scientists. Harvard Business Review (HBR) has labelled Data Scientist as the sexiest job of the century, which laid basis for enormous discussions on what exactly Data Science is? and what it really takes to become a good Data Scientist?
People carrying different perceptions towards Data Science are looking chaotic when talking about the skills and qualities required to emerge as a ‘Great Data Scientist’. In this post, we would like to enlighten such dark areas that you may be encircled with Data Scientists, and what they generally do.
Before diving into the concept of Data Scientist, let us understand what Data Science is all about.
Data Science refers to the methods, processes, and systems used to analyze huge amounts of data, which then are used by the organizations and enterprises to draw actionable insights for gaining competitive edge in the market.
“The fundamental goal of Data Science is to help humans in drawing faster and better insights”
Read More: Will Data Scientist Ever Rule the World?