The objective of the program is to educate students on data-related programming and querying languages. The program would help them to use these programming languages to clean, query and analyze large datasets. It would develop an understanding of machine learning principles and common modelling techniques, and a core understanding of both numerical and categorical models to propel business objectives. The program also provides students with useful insights into some of the popular big data tools.
Upon completion of this program, the graduate will be able to:
➢ Understand the concept of relational databases.
➢ Create and manipulate databases.
➢ The syntax of various programming and query languages, and related packages used for data analysis and machine learning.
➢ Work, manipulate and model data using programming languages.
➢ Use various tools to build data visualizations.
➢ Use the machine-learning techniques to model and build data.
➢ Exposure to deep learning and advanced machine learning models.
➢ Use statistical knowledge to test the accuracy of data models.
➢ Use and implement common big data tools.
➢ Use and implement neural networks.
➢ Apply learned skills at the workplace during Coop.