Enterprise Resource Planning- Introduction to Database Management (RDBMS,)
Data ware-housing, and B.I [Business Intelligence]
Business Analytics using Excel / R / Python
Introduction to Big Data and Big Data Analytics, with Tools (Hadoop based tools, MS Power-BI, Tableau etc.,)
Application of Business Analytics in Finance, HRM, Marketing and Production and Operations
Adv. Stat Course Multi Regression, Factor Analysis, Principal Component Analysis, Canonical Correlation, etc., using SAS/SPSS or any other Statistical tool
Data Mining: (Using EXCEL /SPSS /SAS /XLMINER/ Power BI or any other D/M package) Partitioning data, Data Utilities (Sampling), Classification Affinity, Prediction, Predictive modelling and analysis, Time Series Analysis, Data Reduction and Exploration, Charting
Applications of Cloud computing and IOT [Internet of Things] and Overview of AI (Artificial Intelligence)
