Fundamentals of Quantitative Modelling

This Wharton's course teaches about the fundamentals of quantitative modelling. It is beneficial because these fundamental blocks could be added to form a more complex model at a later stage to solve various business issues.

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1. Module-1

    I. Introduction

        - How models are used in practice

        - Key steps in modelling

    II. Vocabulary for modelling

    III. Mathematical functions

2. Module-2

   I. Introduction to linear models

    II. Growth in Discrete-time - Constant Proportionate Growth model

    III. Present and Future value - Discrete-time

    IV. Present and Future value - Continuous-time

    V. Optimization

3. Module-3

    I. Probabilistic models

        - Regression models

        - Probability trees

        - Monte Carlo simulation

        - Markov models

4. Module-4

    I. Regression models

        - Use of regression model

        - Interpretation of coefficients

        - R squared error and RMSE    

        - Fitting curves to data

    II. Multiple regression

    III. Logistic regression