Predictive, Prescriptive Analytics for Business Decision Making

   Regression Fundamentals
   The linear regression equation
   Linear Regression explained
   Linear Regression with independent variable
   Interpreting R -Squared
   Evaluating Model Performance
   Key assumptions of Linear Regression
   Residual Analysis
   Statistical tests to validate assumptions
   Correlation and Casuation
   Heat map and Scatter plots
   Multiple Linear Regression use case
   Interpreting regression outputs
   Regression use cases
    Chapter Quiz

   Time Series Fundamentals
   Visualizing time series data using plots
   Components of Time series
   Stationary time series
   Forecasting fundamentals
   Forecasting techniques
   Forecasting techniques : Exponential Smoothing
   Forecasting techniques : Holt’s method
   Forecasting techniques : Holt’s Winter method
   Forecasting techniques : ACF & PACF
   Forecasting techniques : ARIMA
   Forecasting techniques : ARIMA models in Python
   Applications of Time Series
    Chapter Quiz

   Introduction to Prescriptive Analytics
   Gradient Descent (& code)
   Gradient descent fundamentals
   Stochastic Gradient descent regression
    Chapter Quiz