End to End Data Science Life Cycle

Information is the oil of the 21st century, and analytics is the combustion engine -- Peter Sondergaard (Senior Vice President and Global Head of Research at Gartner, Inc.) Data science is all about asking interesting questions based on the data you have or often the data you don't have -- Sarah Jarvis (Director of Applied Machine Learning and Data Science at Secondmind) The world we are living in right now is in the era of huge databases. We are living in a digital age where our lifestyle generates more and more data. This data is produced from different sources like Apps, Websites, Smart Devices etc. So, all of this raw data is stored in various Databases. Storing the data doesn't make any sense unless it is used properly for generating insights from the data which helps us to solve various Business problems. With the increasing demand for this field, it is extremely important for us to understand different stages in the life cycle of a Data Science project from End-To-End.