Predictive Analytics for Managers

Indian Institute of Management Indore

Indian Institute of Management Indore

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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.

Objectives

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

Content

TOPICS

Introduction

  • Predictive model types
  • Regression function and prediction problem
  • Validation of prediction
  • Case Study: Loss prediction in credit business

LEARNING OBJECTIVES

· 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

LEARNING OBJECTIVES

· 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
  • Zero-Inflation
  • Interpreting predicted probabilities

Case Study: ZIP regression for employee rating

LEARNING OBJECTIVES

· Understand the regression for discrete dependent variable · Learning zero-inflation · Learning how to use it in developing human resources · Hands on training with R

Experts

Sujay Kumar Mukhoti

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...

Predictive Analytics for Managers at Indian Institute of Management Indore

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Read more about Business Analytics

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