How to become a data scientist: A data-driven approach to careers in data science


 

Imagine a world without any data. Now imagine the extent of all the available data. Both are equally unimaginable. Every second of the day, petabytes of data are being produced. However, copious amounts of data, also known as big data, in and of itself are not useful until it is computed. As John Allen Paulos famously once said – “Data data everywhere but not a thought to think.”, we are surrounded by an overwhelming amount of data. Still, the real value of having data and analytics teams is in generating this data’s insights. 

Big data needs to be explored, tamed,