Build predictive machine learning and forecasting models in Excel to build customer decision and customer behavior
Unlock your potential with a coupon code
for the "Predictive Customer Analytics" course by Start-Tech Academy on Udemy.
This course, boasting a 4.5-star rating from 0 reviews
and with 4,514 enrolled students, provides comprehensive training in Sales.
Spanning approximately
3 hour(s)
30 minute(s)
, this course is delivered in English
and we updated the information on March 06, 2025.
To get your free access, find the coupon code at the end of this article. Happy learning!
Are you an aspiring data analyst or business professional looking to make data-driven decisions that impact customer behavior and retention? Do you want to leverage Excel to build predictive models without the complexity of advanced coding? If yes, this course is for you.
In today’s competitive market, understanding customer behavior is key to business success. Predictive Customer Analytics helps you stay ahead by forecasting customer decisions, improving retention, and driving targeted marketing strategies. This course will empower you to use Excel as a powerful tool for building predictive machine learning models and forecasting techniques, even if you’re not an expert in data science.
In this course, you will:
Develop a solid understanding of linear and logistic regression techniques in Excel to predict customer behavior.
Master clustering techniques for customer segmentation, identifying key groups within your customer base.
Build sales forecasting models using Excel’s Solver and time series methods.
Implement 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.
Throughout the course, you will complete hands-on exercises in Excel, including:
Preprocessing customer data for linear and logistic regression
Building predictive models using XLSTAT and Excel Macros
Clustering customer data for segmentation analysis
Implementing time series forecasting to predict sales
What sets this course apart is its focus on practical, easy-to-implement techniques that don’t require programming knowledge. You’ll learn how to utilize Excel’s advanced features to get accurate, actionable results quickly.
Ready to transform your customer insights? Enroll today and start building your own predictive models in Excel!
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