Credit Card Fraud Risk Analysis | End-to-End Power BI Project | Data Analytics & Visualization
PianalytiX
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Credit Card Fraud Risk Analysis | End-to-End Power BI Project | Data Analytics & Visualization
13 513 просмотров · 1 год назад
PianalytiX
1,48 тыс. подписчиков
13 513 просмотров · 1 год назад
How do banks detect and prevent credit card fraud? With billions of transactions happening daily, identifying fraudulent activities is a major challenge. In this end-to-end Power BI project, we analyze credit card fraud risk using data analytics, visualization, and risk assessment techniques to uncover hidden fraud patterns.
📊 What You’ll Learn in This Power BI Project:
✅ Data Collection & Cleaning – Preparing transaction data for fraud analysis
✅ Exploratory Data Analysis (EDA) – Identifying fraud trends & anomalies
✅ Building Interactive Power BI Dashboards – Fraud detection visualizations
✅ Risk Assessment Metrics – Analyzing high-risk transactions & fraud probability
✅ Predictive Insights & Fraud Prevention Strategies – Data-driven decision-making
✅ Real-World Applications in Banking & Finance – How financial institutions use BI for fraud detection
🎯 Who Should Watch This?
✔️ Data Analysts & Power BI Enthusiasts working on real-world projects
✔️ Finance & Banking Professionals aiming to strengthen fraud prevention
✔️ Students & Beginners learning Power BI & Risk Analytics
✔️ Business Intelligence Experts enhancing financial data insights
🚀 Learn how to detect fraud with data-driven intelligence!
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Here’s the link to the dataset and project PBIX files: https://github.com/pianalytix/Credit-...
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🔗 Website: https://pianalytix.com
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