Description

Course Content:

• Modeling Trends And Seasonality
• Additive And Multiplicative Time Series Models
• Linear Regression Model For Sales Forecasting
• Preprocessing Data For Regression
• Building A Linear Regression Model
• Predicting Values Using The Traine
• Using Xlstat For Forecastingd Model
• Building A Logistic Regression Model For Churn Prediction
• Predicting Churn Probability Using The Trained Model
• Evaluating Model Accuracy Using A Confusion Matrix

• 1. 08. Sales Forecasting
  • 08.01.Project Preview | Sales Analytics Excel

    3:11

  • 08.02.Modeling Trends And Seasonality | Sales Analytics Excel

    10:03

  • 08.03.Additive And Multiplicative Time Series Models | Sales Analytics Excel

    9:30

  • 08.04.Linear Regression Model For Sales Forecasting | Sales Analytics Excel

    7:44

  • 08.05.Preprocessing Data For Regression | Sales Analytics Excel

    12:14

  • 08.06.Building A Linear Regression Model | Sales Analytics Excel

    8:28

  • 08.07.Predicting Values Using The Trained Model | Sales Analytics Excel

    8:26

  • 08.08.Using Xlstat For Forecasting | Sales Analytics Excel

    7:57

• 2. 09. Customer Lifetime Increase
  • 09.01.Project Preview | Sales Analytics Excel

    1:52

  • 09.02.Building A Logistic Regression Model For Churn Prediction | Sales Analytics Excel

    12:17

  • 09.03.Predicting Churn Probability Using The Trained Model | Sales Analytics Excel

    11:05

  • 09.04.Evaluating Model Accuracy Using A Confusion Matrix | Sales Analytics Excel

    12:28