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Analytics for Retail Banks 2k Learners Self Paced
Introduction to Analytics for Retail Banks
Overview of retail banking industry
Importance of analytics in retail banking
Basics of Analytics
Introduction to data analytics
Types of analytics used in retail banking
Data collection and cleansing techniques
Key Metrics in Retail Banking
Customer acquisition and retention metrics
Loan performance metrics
Profitability and risk management metrics
Predictive Analytics in Retail Banking
Introduction to predictive modeling
Credit scoring using predictive analytics
Fraud detection using predictive analytics
Advanced Analytics Techniques
Machine learning algorithms in retail banking
Sentiment analysis for customer feedback
Recommendations for personalized banking services
Implementation of Analytics in Retail Banks
Challenges in implementing analytics in retail banks
Best practices for successful analytics implementation
Case studies of analytics implementation in retail banks
Future Trends in Analytics for Retail Banks
Artificial intelligence in retail banking
Blockchain technology in banking
Predictive analytics for personalized customer experiences
Conclusion and Next Steps
Recap of key learnings
Further resources for continuous learning
Certification exam details and assessment instructions
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Certification exam details and assessment instructions
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