Who should attend
- Business analysts who want to refine their skills in modelling and fact-based decision-making
- Digital officers, technology officers, and managers building and launching data science teams
- Mid-managers in credit and risk, human resources, talent management, product development, operations, and other strategy-related functions
About the course
Digital transformation of business has led to a data-oriented revolution. Data is now an integral part of every domain of business- be it marketing, finance or HR. But the competitive advantage in business comes out of harnessing the power of data. This predictive analytics program enables you to churn out the power of data through advanced scientific methods and transform your business. You will gain a firm grounding in predictive analytics and its implementation.
Apply predictive analytics to reshape your business model and operations:
- Draw on scientific models for data driven strategic decision making
- Use experimentation and predictive analysis to improve your business
Integrate data analytics into decision-making processes and key functions across the organization, such as finance & risk, human resource and many more
- Predictive model types
- Regression function and prediction problem
- Validation of prediction
- Case Study: Loss prediction in credit business
· Understand the foundation of predictive modelling · Learning how to validate regression results · Hands on training using R
Dichotomous Response Regression
- Dichotomous Choice Model
- Informative and ancillary predictors
- Interpreting predicted probabilities as scores
Case Study: Scorecard building for credit risk
· Understand the classification problem as a dichotomous regression problem · Learning how to pick up useful predictors · Learning scorecard building technique · Hands on training with R on real data
Count Data Regression
- Poisson regression model for count data
- Interpreting predicted probabilities
Case Study: ZIP regression for employee rating
· Understand the regression for discrete dependent variable · Learning zero-inflation · Learning how to use it in developing human resources · Hands on training with R
Mr. Sujay Kumar Mukhoti is a Fellow of IIM Bangalore (eq. PhD). His doctoral thesis dealt with the topic ‘Generalized Stochastic Volatility Model for Financial Returns with Sparse Jumps’. He holds a Masters in Statistics from University of Kalyani, West Bengal. Before joining the doctoral progra...
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Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.