SBDA™ aspirants seek to develop in learners, a strong and complete generic, as well as platform–based understanding of the concepts, principles, tools, techniques, and technologies of designing, developing, and applying analytics frameworks and utilities required for sharper information management and decision making. SBDA™ aspirants are expected to know Big Data technologies and its application, Big Data Analytics and its application, R & it's implementation, Mobile Analytics, Visualization, Machine learning, Artificial Intelligence, Statistical Analysis tools, techniques, and methodologies etc.