Elevate Customer Insights with Predictive Analytics in Excel

Are you an aspiring data analyst or business professional looking to make data-driven decisions that impact customer behavior and retention? This course, Predictive Customer Analytics, is designed for you to leverage Excel to build predictive models without the complexity of advanced coding. Understanding customer behavior is key to business success, and this course will empower you to forecast customer decisions, improve retention, and drive targeted marketing strategies.

Throughout this course, you will develop a solid understanding of linear and logistic regression techniques in Excel to predict customer behavior. You will master clustering techniques for customer segmentation, helping you identify key groups within your customer base. Additionally, you will build sales forecasting models using Excel’s Solver and time series methods while implementing real-world solutions with case studies, such as predicting customer churn and segmenting customers for better marketing strategies.

Why is Predictive Customer Analytics so important? By using Excel, a tool most professionals are already familiar with, you can unlock deeper insights into customer data, enabling better decision-making without needing advanced technical skills. From forecasting sales trends to retaining key customers, predictive analytics is a game-changer for businesses looking to grow and scale. Enroll today and start building your own predictive models in Excel!

What you will 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.

Course Content:

• Sections: 6
• Lectures: 33
• Duration: 3h 30m

Requirements:

• A PC/ laptop with good internet connection
• MS Excel installed on it

Who is it 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.

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

👉 Don’t miss this coupon! – Cupón EDUFREE