In today’s data-driven society, Data Science provides a foundation for problem solving that impacts many areas of the economy, including science, engineering, medicine, banking, finance, sports and the arts. Data science is an interdisciplinary field that focuses on analysing large amounts of data in various formats such as text, audio video etc., to extract information from inherent patterns, design and develop underlying models, and use data for real world applications for prediction, detection and decision.
Data processing and analytics converts raw data of different formats into meaningful format which can be analysed and interpreted for a variety of purposes. Data Science focuses on data extraction and processing techniques and machine learning algorithms for inferring and representation of data for meaningful presentation for easy interpretation and decision making. Data Science focuses on innovative and intelligent ways of handling data in structured and unstructured format which may be available in large volume, and analyzing data for various purposes.
Data science and analytics course programme is designed to prepare the students in interdisciplinary domains for gaining hands-on experience on data analytics, machine learning and data visualization methods as it relates to multiple fields of interest. It is designed to empower the students to employ problem ideation, computational thinking and data science tools to solve practical business problems. This Data science and analytics course consists of courses that cover the spectrum of Data Science to equip the students with knowledge of data analysis, Machine Learning and data visualization techniques for data-centric computation to address problems of the real world.