WHY LEARN DATA SCINCE IS IMPORTANT

 

Role of data scientist

In today’s emerging data-driven businesses, data scientist plays business-critical roles.

Typically, a data scientist’s role comprises handling humongous amounts of data and then analyzing it using data-driven methodologies. Once they can make sense of the data, they bridge the business gaps by communicating it to the information technology leadership teams and understanding the patterns and trends through visualizations. Data scientists also leverage Machine Learning and AI, use their programming knowledge around Java, Python, SQL, Big data Hadoop, and data mining. They require to have great communication skills to translate to the business their data discovery insights effectively.

Why data science is important

Why data science? It is simple. Making sense of data will reduce the horrors of uncertainty for organizations. Data science is a rapidly growing function, but industry experts say it is still in its infancy. In 2003, iTunes took 100 months to reach 100 million users, while for Pokemon in 2016, it took days to reach the million mark. In the graph below, you will see how from 1878, user outreach timelines kept changing by changing away from the old models of marketing and promotions. This was posted on by Sequoia Capital that shows how from two decades back, businesses moved from legacy techniques to social media. The evolution happened due to the massive digitization of promotion platforms that run on data insights.

Compiled by - Aayush Dumka Data Scientist