CO1: Apply mathematical/statistical concepts (linear algebra, probability, optimization) and programming tools (Python/R, Pandas, NumPy) for data analysis and manipulation.
CO2: Design and implement machine learning/data mining techniques (clustering, classification, regression) and utilize big data technologies (Hadoop, Spark) for scalable
processing.
CO3: Develop interactive visualizations (Tableau, Power BI) and deploy cloud-based big data solutions (AWS/Azure/GCP) using IaaS/PaaS models.
CO4: Solve domain-specific problems (NLP, IoT, time series) with advanced analytics (graph algorithms, deep learning) while addressing security/privacy challenges.
- Teacher: Arnab Sadhu