Course Description

Welcome to the cutting-edge world of Predictive Analytics! This advanced-level course, offered by the prestigious IIMBx, is designed to equip you with the skills and knowledge necessary to become a master of data-driven decision making. In today's competitive business landscape, the ability to predict future trends and outcomes is invaluable. This course will teach you how to harness the power of predictive analytics to solve real-world business problems, giving you a significant edge in your career.

What You Will Learn

• Understanding and application of predictive analytics tools for real-life business problems
• Case-based practical problem-solving using advanced predictive analytics techniques
• Interpretation of model outputs for informed decision making
• Mastery of regression, logistic regression, and forecasting using software tools like MS Excel, SPSS, and SAS
• Comprehension of various predictive models including multiple linear regression, ARIMA, decision trees, and neural networks
• Strategies for pricing products, assessing credit risk, and recommending products to customers
• Techniques for predicting customer churn, loan defaults, and stock market fluctuations

Prerequisites

1. Advanced Statistical Concepts:

• Descriptive statistics
• Probability Distribution
• Hypothesis testing
• ANOVA

2. Software Proficiency:

• SPSS, SAS, or STATA

Course Content

• Introduction to predictive analytics and its business applications
• Multiple linear regression and its implementation
• Logistic regression for binary outcome prediction
• Time series analysis and ARIMA models
• Decision trees and their applications in business
• Neural networks and advanced predictive techniques
• Case studies in various business sectors
• Practical implementation using software tools
• Interpretation and presentation of predictive model results

Who This Course Is For

• Business professionals seeking to enhance their decision-making skills
• Data analysts looking to advance their career in predictive analytics
• Students pursuing a career in business analytics or data science
• Managers and executives who want to leverage data for strategic advantage
• Anyone interested in understanding and applying predictive modeling techniques

Real-World Applications

The skills acquired in this course have immediate and practical applications across various industries:

• Retail: Optimize pricing strategies and product recommendations
• Finance: Assess credit risk and predict loan defaults
• Marketing: Forecast customer behavior and prevent churn
• Stock Market: Analyze and predict market trends
• Supply Chain: Optimize inventory and predict demand
• Healthcare: Predict patient outcomes and optimize resource allocation
• Human Resources: Predict employee performance and retention