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Data science is the study of collective data which tells you about the data i.e. where it comes from, what it represents and how it can be used as a valuable resource in terms of businesses. By applying the correct models to the correct data, data science lets companies identify to predict about the patterns in massive volumes of data and, ultimately, affect business outcomes. It helps companies in developing more compelling products, and drive operational efficiencies. In other words, data science is the process of identifying patterns and insights which is hidden in large volumes of messy data using techniques such as data mining, predictive analytics, machine learning, deep learning, and cognitive computing, etc.

Data science is yet different from data analytics but both are interconnected in a way. Data analytics can be defined as a qualitative and quantitative techniques and processes which is used to enhance the productivity and for business profit. Data is extracted and categorized to identify and analyze behavioral data and patterns, and techniques vary according to organizational requirements. It is basically utilised in the case of business to consumer applications (B2C).