The program is designed and helmed by Dr. Raghunadh Acharya, an expert in Advanced Statistics Marketing Research Data Mining and Operations Research with rich experience spanning over 30 years in Industry practices teaching training research and consulting Member in statistical and data sciences societies Vice president of Society for Development of statistics(SDS).Data Sciences program represents the right blend of technology platforms Analytics applications Advanced analytics frameworks and a host of industry specific case studies .
The program is aimed at building skills knowledge and competencies among the aspirants and enable them to contribute their employers with rewarding performance.Program delivery represents a collection of teaching methods viz., classroom learning, simulations, field exercises in addition to learning through individual and team case assignments.Program is imparted through a three-tier approach Basic to Intermediate to Advanced levels wherein a learner progresses after clearing each stage through a series of assessments

The program, further offers, a series of short-term courses on topics like
 Fundamentals in Data Sciences (R, Python, and Business Analytics)
 Course on Business Analytics
 Course on Advanced Business Analytics
 Course in Deep Learning

Introduction
Business Analytics Data Sciences and Careers in Business Analytics
Basic Level:
* Statistics - Summary Measures, Central Tendencies, Dispersions, Skewness, Kurtosis, Moments, Diagrammatic representations,Visualization and Exploring data           drawing inferences on data, etc.,
* Operations Research – Mathematical Modeling LPP, AP, TP, TSP.
* Data Mining – Fundamentals, Associations,Classifications.
* Marketing Research – Introduction need for designing business research.
Intermediate Level:
* Statistics - Probability theory and Sampling theory drawing inferences.
* Operations Research – Goal, Dynamic, Integer Programming models.
* Data Mining – Clustering Techniques Deep Learning techniques.
* Marketing Research – Designing questionnaires data collections data analysis report preparation.
Advanced Level:
* Statistics - Multivariate data analysis techniques; Advanced Regression Techniques;
* Operations Research – Non Linear programming Stochastic Processes.
* Data Mining – Deep Learning techniques Support Vector Machines.
* Marketing Research – Insights in to resolving management dilemma.