What You'll Learn
- Discover how to preprocess customer data for predictive modeling using Excel.
- Master the application of linear regression in Excel to predict customer behavior.
- Explore the use of logistic regression for customer churn prediction and retention strategies.
- Analyze customer data using clustering techniques to segment customer groups.
- Build sales forecasting models using Excel’s Solver and time series analysis.
- Implement XLSTAT for advanced statistical analysis in customer predictions.
- Develop and run logistic regression models using Excel Macros for automation.
- Predict future customer behavior with additive and multiplicative time series models.
- Interpret the results of regression and clustering models to make actionable business decisions.
- Evaluate the effectiveness of your predictive models in improving customer retention and business strategies.
Requirements
- A PC/ laptop with good internet connection and MS Excel installed on it
Who This Course is For
- Marketing professionals who want to use data to predict customer behavior and enhance targeted campaigns.
- Sales managers looking to forecast sales trends and improve customer retention strategies.
- Data analysts who want to build predictive models in Excel without needing complex coding skills.
- Small business owners aiming to make data-driven decisions to optimize customer acquisition and retention.
Your Instructor
Start-Tech Academy
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