Build predictive machine learning and forecasting models in Excel to build customer decision and customer behavior
Sub Category
- Sales
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Objectives
- 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.
Pre Requisites
- A PC/ laptop with good internet connection and MS Excel installed on it
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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