### Q1: What is predictive analytics and how can it be used to forecast sales trends?  
### Q2: How can Excel be utilized for regression analysis in predictive analytics?  
### Q3: What are the advanced statistical capabilities that Python and R offer for predictive analytics?  
### Q4: How can predictive analytics assist in optimizing inventory levels for a business?  
### Q5: In what ways can a CRM system enhance the application of predictive analytics in sales?  
### Q6: How can predictive analytics help in understanding customer behaviors and making data-driven decisions?  
### Q7: How does customer segmentation improve marketing efforts in a fintech company?  
### Q8: What real-life example illustrates the impact of churn prediction in retaining customers?  
### Q9: How could predictive analytics have enhanced a past sales decision you made based on data?