The field of applied econometrics with business implications has emerged over the last decade. Keeping this in mind, the present program aims to present the quantitative models to solve business forecasting using applied predictive analytics. Quantifying business problems and solving through applied econometrics using latest industry friendly interface like python make the program challenging. This course is intended to help practitioners cut through the vast literature on econometric models and techniques of predictive analytics. The course is designed for researchers and practitioners in the private and public sector. Our aim is to provide a road map from academic perspective to the research issues that are important for researchers and practitioners.
This short course aims to discuss the broader aspect of econometric modeling and predictive analytics. It aims to cover applied econometric tools relating to univariate and multivariate econometric modeling, Ordered and Multinomial
1. Business Forecasting using Time Series Data 2. Exploring Cause and Effect Predictive Analytics 3. Discrete Choice Model
Industry Professionals, NITIE Alumni, Faculty, Research Scholars
|Starts On||Aug 11, 2023|
|Faculty||Prof. Poonam Singh / Prof. Ajaya Panda|
|Duration||Professional Fee*(Per participant)||GST(18%)||Total Fees(Per Participant)||Programme Code|
|18 Hrs.||10,500.00||1,890.00||12,390.00||1 24 2 18|