Science with Data

To understand “Data Science”, let’s see what these two words mean separately; data is the raw form from which useful information is extracted and Science is the systematic study/understanding of something. So Data Science refers to the systematic analysis of data which involves the concepts of Statistics, Business, and Programming skills, to draw useful inferences/information underlying.
Data Science aims at finding the underlying relationship using the concepts of Statistics so that predictions/extrapolations could be made which will act as feedback to the system/business for a better experience in the future. Sometimes the relationships among data look simple/obvious which can be verified as statistical hypothesis testing while sometimes it’s not very obvious/clear and then comes Machine Learning/Deep Learning to predict the complex relationship among data.
Once we understand every aspect and mutual relationship among data, we can take better decisions that will enhance the overall system performance and hence business/objective.