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100% OFF Sales ★ 4.5 5,663 students 3.5 hours

Predictive Customer Analytics

Build predictive machine learning and forecasting models in Excel to build customer decision and customer behavior

Description


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.

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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:

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  • 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!


Total Students 5663
Duration 3.5 hours
Language English (US)
Original Price ₹2,129
Sale Price 0
Number of lectures 32
Number of quizzes 6
Total Reviews 65
Global Rating 4.53
Instructor Name Start-Tech Academy

Course Insights (for Students)

Actionable, non-generic pointers before you enroll

👍

Student Satisfaction

86% positive recent sentiment

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Momentum

Steady interest

⏱️

Time & Value

  • Est. time: 3.5 hours
  • Practical value: 7/10

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Roadmap Fit

  • Beginner → Beginner → Advanced

Key Takeaways for Learners

  • Analytics
  • Hands On
  • Well Structured

Course Review Summary

Signals distilled from the latest Udemy reviews

What learners praise

  • Hands On
  • Well Structured
  • Step By Step
  • Practical
  • Beginner Friendly

Watch-outs

  • Theory only

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Difficulty

Beginner

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Best suited for

New learners starting from zero

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