Title
Predictive Customer Analytics
Build predictive machine learning and forecasting models in Excel to build customer decision and customer behavior

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.
Why take this course?
🌟 Course Headline: Master Predictive Customer Analytics with Excel
🚀 Course Description:
Are you an aspiring data analyst or business professional eager to make data-driven decisions that shape customer behavior and retention? Do you seek to harness the power of predictive machine learning models without delving into complex coding? If your answer is a resounding 'Yes!', then our "Predictive Customer Analytics" course at Start-Tech Academy is exactly what you need! 🎓
In today's fast-paced business landscape, understanding and predicting customer behavior is not just an advantage—it's essential for success. Our comprehensive course will guide you through the intricacies of leveraging Excel to build powerful predictive models. Even if data science isn't your forte, this course equips you with the skills to forecast customer decisions, enhance retention, and craft targeted marketing strategies using the familiar interface of Excel.
Here's a sneak peek into what you'll achieve in this course:
⚡ Key Learning Outcomes:
- 📊 Develop a deep understanding of linear and logistic regression techniques within Excel.
- 🔢 Master customer segmentation through clustering within Excel.
- 📈 Build robust sales forecasting models using Excel's Solver and time series methods.
- 🏆 Implement real-world solutions, such as predicting customer churn and tailoring marketing strategies for different customer segments.
🔍 Why Predictive Customer Analytics Matters: Understanding your customers is at the heart of successful business operations. With predictive analytics, you can forecast trends, improve decision-making processes, and ultimately drive your company's growth and scale. Excel's accessibility means these powerful insights are within your grasp, bypassing the need for advanced technical skills.
📈 Hands-On Exercises:
- 🧩 Preprocessing customer data for linear and logistic regression.
- 🔧 Building predictive models with XLSTAT and Excel Macros.
- 🎯 Clustering customer data for precise segmentation analysis.
- ⏰ Implementing time series forecasting to accurately predict sales trends.
🔥 Why This Course Stands Out: This course is designed specifically for those who want practical, application-driven knowledge that can be implemented right away—no deep programming skills required! You'll learn to effectively utilize Excel's advanced features to obtain accurate and actionable results efficiently.
Are you ready to elevate your customer insights? Don't wait! Join us at Start-Tech Academy and embark on your journey to becoming an expert in Predictive Customer Analytics using Excel. 🚀
📆 Enroll Today: Turn your aspirations into achievements by enrolling in our "Predictive Customer Analytics" course. Let's unlock the predictive potential of your customer data together! 🌟
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Submit by | Date | Coupon Code | Discount | Emitted/Used | Status |
---|---|---|---|---|---|
- | 31/10/2024 | DIWALIFREE24 | 100% OFF | 1000/967 | expired |
amit | 13/11/2024 | FREENOV24 | 100% OFF | 1000/897 | expired |
- | 17/02/2025 | SKILLBOOST | 100% OFF | 1000/987 | expired |
- | 04/03/2025 | FREE4MARCH | 100% OFF | 1000/994 | expired |