What will you in Docker for the Customer Analytics Course
Understand major methods of customer data collection and how this data informs business decisions.
Explore tools used to predict customer behavior and identify appropriate uses for each tool.
Gain insights into descriptive, predictive, and prescriptive analytics.
Learn how top companies like Amazon, Google, and Starbucks utilize customer analytics.
Develop the ability to communicate key ideas about customer analytics and its role in business strategy.
Program Overview
1. Introduction to Customer Analytics
⏱ Duration: ~1 hour
Overview of customer analytics and its significance in modern business.
Introduction to the course structure and objectives.
2. Descriptive Analytics
⏱ Duration: ~2.5 hours
Methods for collecting and interpreting customer data.
Understanding patterns in customer behavior.
Differentiating between causal and correlative data.
3. Predictive Analytics
⏱ Duration: ~3 hours
Techniques for forecasting future customer actions.
Application of regression analysis and probability models.
Identifying appropriate predictive tools for various business scenarios.
4. Prescriptive Analytics
⏱ Duration: ~2.5 hours
Transforming data insights into actionable strategies.
Optimization methods for revenue and profit maximization.
Utilizing analytics for decision-making in pricing and advertising.
5. Application/Case Studies
⏱ Duration: ~2 hours
Real-world examples of customer analytics in action.
Case studies from leading companies demonstrating effective data-driven strategies.
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Job Outlook
Proficiency in customer analytics is increasingly valuable across industries such as retail, technology, finance, and healthcare.
Roles benefiting from these skills include Marketing Analyst, Data Scientist, Customer Insights Manager, and Business Analyst.
Understanding customer behavior through data is crucial for developing targeted marketing strategies and improving customer experience.
Specification: Customer Analytics
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